Package: adjclust Check: tests New result: ERROR Running ‘testthat.R’ [29s/30s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library("testthat") > library("adjclust") > > test_check("adjclust") Saving _problems/test_modify-19.R object has no names - using numeric order for row/column names [ FAIL 1 | WARN 1 | SKIP 3 | PASS 171 ] ══ Skipped tests (3) ═══════════════════════════════════════════════════════════ • No NA value: nothing to test here! (3): 'test_snpClust_NA-in-LD.R:22:3', 'test_snpClust_NA-in-LD.R:57:3', 'test_snpClust_NA-in-LD.R:78:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_modify.R:19:3'): Results of the algorithm are shifted by lambda when similarity is unnormalized and heights are positive ── Error in `expect_message(fit4 <- adjClust(sim2), fit3$correction)`: `regexp` must be a single string, `NA`, or `NULL`, not the number 1.8. Backtrace: ▆ 1. └─testthat::expect_message(regexp = fit3$correction) at test_modify.R:19:3 2. └─testthat:::check_string(regexp, allow_null = TRUE, allow_na = TRUE) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 1 | WARN 1 | SKIP 3 | PASS 171 ] Error: ! Test failures. Execution halted Package: adproclus Check: tests New result: ERROR Running ‘testthat.R’ [17s/17s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(adproclus) > > test_check("adproclus") ADPROCLUS solution Setup: number of clusters: 2 data format: 21 x 4 total time: 0.088 s number of total starts: 6 Results Best Run: explained variance: 0.976 time: 0.01 s iterations to convergence: 2 A (cluster membership matrix): Cl1 Cl2 [1,] 1 1 [2,] 1 1 [3,] 1 1 [4,] 1 0 [5,] 1 0 [6,] 1 0 [7,] 1 0 [8,] 1 0 [9,] 1 0 [10,] 1 0 [ 11 rows were omitted ] P (profiles): Air.Flow Water.Temp Acid.Conc. stack.loss Cl1 57.444 20.222 85.833 14.000 Cl2 20.889 6.111 3.167 24.667 Low Dimensional ADPROCLUS solution number of clusters: 3 number of components: 2 data format: 21 x 4 total time: 0.113 s number of total starts: 6 Results Best Run: explained variance: 0.988 time: 0.013 s iterations to convergence: 7 A (cluster membership matrix): Cl1 Cl2 Cl3 [1,] 1 1 0 [2,] 1 1 0 [3,] 1 1 0 [4,] 1 0 1 [5,] 1 0 1 [6,] 1 0 1 [7,] 1 0 1 [8,] 1 0 1 [9,] 1 0 1 [10,] 0 1 0 [ 11 rows were omitted ] C (profiles in terms of components - cluster by component): Comp1 Comp2 Cl1 21.445 33.674 Cl2 98.800 8.596 Cl3 89.240 -17.609 B' (components by variables): Air.Flow Water.Temp Acid.Conc. stack.loss Comp1 0.491 0.178 0.852 0.033 Comp2 0.452 0.114 -0.315 0.827 ADPROCLUS solution Setup: number of clusters: 2 data format: 21 x 4 total time: 0.09 s number of total starts: 6 Results Best Run: explained variance: 0.98 time: 0.01 s iterations to convergence: 2 A (cluster membership matrix): Cl1 Cl2 [1,] 1 1 [ 20 rows were omitted ] P (profiles): Air.Flow Water.Temp Acid.Conc. stack.loss Cl1 57.44 20.22 85.83 14 [ 1 rows were omitted ] ADPROCLUS solution Setup: number of clusters: 2 data format: 21 x 4 total time: 0.09 s number of total starts: 6 Results Best Run: explained variance: 0.98 time: 0.01 s iterations to convergence: 2 A (cluster membership matrix): Cl1 Cl2 [1,] 1 1 [ 20 rows were omitted ] P (profiles): Air.Flow Water.Temp Acid.Conc. stack.loss Cl1 57.44 20.22 85.83 14 [ 1 rows were omitted ] Low Dimensional ADPROCLUS solution number of clusters: 3 number of components: 2 data format: 21 x 4 total time: 0.11 s number of total starts: 6 Results Best Run: explained variance: 0.99 time: 0.01 s iterations to convergence: 7 A (cluster membership matrix): Cl1 Cl2 Cl3 [1,] 1 1 0 [ 20 rows were omitted ] C (profiles in terms of components - cluster by component): Comp1 Comp2 Cl1 21.44 33.67 [ 2 rows were omitted ] B' (components by variables): Air.Flow Water.Temp Acid.Conc. stack.loss Comp1 0.49 0.18 0.85 0.03 Comp2 0.45 0.11 -0.32 0.83 Low Dimensional ADPROCLUS solution number of clusters: 3 number of components: 2 data format: 21 x 4 total time: 0.11 s number of total starts: 6 Results Best Run: explained variance: 0.99 time: 0.01 s iterations to convergence: 7 A (cluster membership matrix): Cl1 Cl2 Cl3 [1,] 1 1 0 [ 20 rows were omitted ] C (profiles in terms of components - cluster by component): Comp1 Comp2 Cl1 21.44 33.67 [ 2 rows were omitted ] B' (components by variables): Air.Flow Water.Temp Acid.Conc. stack.loss Comp1 0.49 0.18 0.85 0.03 Comp2 0.45 0.11 -0.32 0.83 ADPROCLUS solution Setup: number of clusters: 2 data format: 21 x 4 total time: 0.09 s number of total starts: 6 Results Best Run: explained variance: 0.98 time: 0.01 s iterations to convergence: 2 A (cluster membership matrix): Cl1 Cl2 [1,] 1 1 [ 20 rows were omitted ] P (profiles): Air.Flow Water.Temp Acid.Conc. stack.loss Cl1 57.44 20.22 85.83 14 [ 1 rows were omitted ] Cluster sizes and overlaps: [,1] [,2] [,3] [1,] 21 3 0 [2,] 3 3 0 [3,] 0 0 0 (diagonal entries: number of observations in a cluster) (off-diagonal entry [i,j]: number of observations both in cluster i and j) (last row/column represents additional baseline cluster) Summary statistics of approximated model variables per cluster: Cl1 Air.Flow Water.Temp Acid.Conc. stack.loss Min 57.44 20.22 85.83 14.00 Mean 60.43 21.10 86.29 17.52 Max 78.33 26.33 89.00 38.67 Cl2 Air.Flow Water.Temp Acid.Conc. stack.loss Min 78.33 26.33 89 38.67 Mean 78.33 26.33 89 38.67 Max 78.33 26.33 89 38.67 Low Dimensional ADPROCLUS solution number of clusters: 3 number of components: 2 data format: 21 x 4 total time: 0.11 s number of total starts: 6 Results Best Run: explained variance: 0.99 time: 0.01 s iterations to convergence: 7 A (cluster membership matrix): Cl1 Cl2 Cl3 [1,] 1 1 0 [ 20 rows were omitted ] C (profiles in terms of components - cluster by component): Comp1 Comp2 Cl1 21.44 33.67 [ 2 rows were omitted ] B' (components by variables): Air.Flow Water.Temp Acid.Conc. stack.loss Comp1 0.49 0.18 0.85 0.03 Comp2 0.45 0.11 -0.32 0.83 Cluster sizes and overlaps: [,1] [,2] [,3] [,4] [1,] 13 3 10 0 [2,] 3 11 0 0 [3,] 10 0 10 0 [4,] 0 0 0 0 (diagonal entries: number of observations in a cluster) (off-diagonal entry [i,j]: number of observations both in cluster i and j) (last row/column represents additional baseline cluster) Summary statistics of approximated low dimensional components per cluster: Cl1 Comp1 Comp2 Min 110.68 16.06 Mean 112.89 22.11 Max 120.24 42.27 Cl2 Comp1 Comp2 Min 98.80 8.60 Mean 104.65 17.78 Max 120.24 42.27 Cl3 Comp1 Comp2 Min 110.68 16.06 Mean 110.68 16.06 Max 110.68 16.06 ADPROCLUS solution Setup: number of clusters: 2 data format: 21 x 4 total time: 0.09 s number of total starts: 6 Results Best Run: explained variance: 0.98 time: 0.01 s iterations to convergence: 2 A (cluster membership matrix): Cl1 Cl2 [1,] 1 1 [ 20 rows were omitted ] P (profiles): Air.Flow Water.Temp Acid.Conc. stack.loss Cl1 57.44 20.22 85.83 14 [ 1 rows were omitted ] Cluster sizes and overlaps: [,1] [,2] [,3] [1,] 21 3 0 [2,] 3 3 0 [3,] 0 0 0 (diagonal entries: number of observations in a cluster) (off-diagonal entry [i,j]: number of observations both in cluster i and j) (last row/column represents additional baseline cluster) Summary statistics of approximated model variables per cluster: Cl1 Air.Flow Water.Temp Acid.Conc. stack.loss Min 57.44 20.22 85.83 14.00 Mean 60.43 21.10 86.29 17.52 Max 78.33 26.33 89.00 38.67 Cl2 Air.Flow Water.Temp Acid.Conc. stack.loss Min 78.33 26.33 89 38.67 Mean 78.33 26.33 89 38.67 Max 78.33 26.33 89 38.67 ADPROCLUS solution Setup: number of clusters: 2 data format: 21 x 4 total time: 0.09 s number of total starts: 6 Results Best Run: explained variance: 0.98 time: 0.01 s iterations to convergence: 2 A (cluster membership matrix): Cl1 Cl2 [1,] 1 1 [ 20 rows were omitted ] P (profiles): Air.Flow Water.Temp Acid.Conc. stack.loss Cl1 57.44 20.22 85.83 14 [ 1 rows were omitted ] Cluster sizes and overlaps: [,1] [,2] [,3] [1,] 21 3 0 [2,] 3 3 0 [3,] 0 0 0 (diagonal entries: number of observations in a cluster) (off-diagonal entry [i,j]: number of observations both in cluster i and j) (last row/column represents additional baseline cluster) Summary statistics of approximated model variables per cluster: Cl1 Air.Flow Water.Temp Acid.Conc. stack.loss Min 57.44 20.22 85.83 14.00 Mean 60.43 21.10 86.29 17.52 Max 78.33 26.33 89.00 38.67 Cl2 Air.Flow Water.Temp Acid.Conc. stack.loss Min 78.33 26.33 89 38.67 Mean 78.33 26.33 89 38.67 Max 78.33 26.33 89 38.67 Low Dimensional ADPROCLUS solution number of clusters: 3 number of components: 2 data format: 21 x 4 total time: 0.11 s number of total starts: 6 Results Best Run: explained variance: 0.99 time: 0.01 s iterations to convergence: 7 A (cluster membership matrix): Cl1 Cl2 Cl3 [1,] 1 1 0 [ 20 rows were omitted ] C (profiles in terms of components - cluster by component): Comp1 Comp2 Cl1 21.44 33.67 [ 2 rows were omitted ] B' (components by variables): Air.Flow Water.Temp Acid.Conc. stack.loss Comp1 0.49 0.18 0.85 0.03 Comp2 0.45 0.11 -0.32 0.83 Cluster sizes and overlaps: [,1] [,2] [,3] [,4] [1,] 13 3 10 0 [2,] 3 11 0 0 [3,] 10 0 10 0 [4,] 0 0 0 0 (diagonal entries: number of observations in a cluster) (off-diagonal entry [i,j]: number of observations both in cluster i and j) (last row/column represents additional baseline cluster) Summary statistics of approximated low dimensional components per cluster: Cl1 Comp1 Comp2 Min 110.68 16.06 Mean 112.89 22.11 Max 120.24 42.27 Cl2 Comp1 Comp2 Min 98.80 8.60 Mean 104.65 17.78 Max 120.24 42.27 Cl3 Comp1 Comp2 Min 110.68 16.06 Mean 110.68 16.06 Max 110.68 16.06 Low Dimensional ADPROCLUS solution number of clusters: 3 number of components: 2 data format: 21 x 4 total time: 0.11 s number of total starts: 6 Results Best Run: explained variance: 0.99 time: 0.01 s iterations to convergence: 7 A (cluster membership matrix): Cl1 Cl2 Cl3 [1,] 1 1 0 [ 20 rows were omitted ] C (profiles in terms of components - cluster by component): Comp1 Comp2 Cl1 21.44 33.67 [ 2 rows were omitted ] B' (components by variables): Air.Flow Water.Temp Acid.Conc. stack.loss Comp1 0.49 0.18 0.85 0.03 Comp2 0.45 0.11 -0.32 0.83 Cluster sizes and overlaps: [,1] [,2] [,3] [,4] [1,] 13 3 10 0 [2,] 3 11 0 0 [3,] 10 0 10 0 [4,] 0 0 0 0 (diagonal entries: number of observations in a cluster) (off-diagonal entry [i,j]: number of observations both in cluster i and j) (last row/column represents additional baseline cluster) Summary statistics of approximated low dimensional components per cluster: Cl1 Comp1 Comp2 Min 110.68 16.06 Mean 112.89 22.11 Max 120.24 42.27 Cl2 Comp1 Comp2 Min 98.80 8.60 Mean 104.65 17.78 Max 120.24 42.27 Cl3 Comp1 Comp2 Min 110.68 16.06 Mean 110.68 16.06 Max 110.68 16.06 Saving _problems/test-visualize-52.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 74 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-visualize.R:52:9'): Scree plots low dimensional ────────────── Expected `plot_scree_adpc(model_selection, grid = TRUE)` not to throw any conditions. Actually got a with message: `geom_line()`: Each group consists of only one observation. i Do you need to adjust the group aesthetic? [ FAIL 1 | WARN 0 | SKIP 0 | PASS 74 ] Error: ! Test failures. Execution halted Package: clinUtils Check: tests New result: ERROR Running ‘testthat.R’ [12s/12s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(clinUtils) > > test_check("clinUtils") Saving _problems/test_getClinDT-139.R Saving _problems/test_getClinDT-176.R [ FAIL 2 | WARN 1 | SKIP 2 | PASS 305 ] ══ Skipped tests (2) ═══════════════════════════════════════════════════════════ • On CRAN (2): 'test_getClinDT.R:838:7', 'test_getClinDT.R:855:7' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_getClinDT.R:139:7'): Invisible columns are not shown in the DataTables output ── Error in `expect(cDefs[[which(cDefsNonVisible)]]$targets, 1)`: `ok` must be `TRUE` or `FALSE`, not the number 1. Backtrace: ▆ 1. └─testthat::expect(ok = cDefs[[which(cDefsNonVisible)]]$targets) at test_getClinDT.R:139:7 2. └─testthat:::check_bool(ok) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) ── Error ('test_getClinDT.R:176:7'): Percentages are correctly formatted ─────── Error in `expect(cDefs[[which(cDefsFmtPercentage)]]$targets, 1)`: `ok` must be `TRUE` or `FALSE`, not the number 1. Backtrace: ▆ 1. └─testthat::expect(ok = cDefs[[which(cDefsFmtPercentage)]]$targets) at test_getClinDT.R:176:7 2. └─testthat:::check_bool(ok) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 2 | WARN 1 | SKIP 2 | PASS 305 ] Error: ! Test failures. Execution halted Package: covdepGE Check: tests New result: ERROR Running ‘testthat.R’ [87s/61s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(covdepGE) > > test_check("covdepGE") Saving _problems/test-covdepGE-347.R Saving _problems/test-covdepGE-352.R Saving _problems/test-covdepGE-357.R Saving _problems/test-covdepGE-362.R Saving _problems/test-covdepGE-367.R Saving _problems/test-covdepGE-372.R Saving _problems/test-covdepGE-377.R Saving _problems/test-covdepGE-382.R Saving _problems/test-covdepGE-387.R Saving _problems/test-covdepGE-392.R Saving _problems/test-covdepGE-421.R Saving _problems/test-covdepGE-426.R Saving _problems/test-covdepGE-428.R Saving _problems/test-covdepGE-433.R Saving _problems/test-covdepGE-435.R Saving _problems/test-covdepGE-440.R Saving _problems/test-covdepGE-442.R Saving _problems/test-covdepGE-451.R Saving _problems/test-covdepGE-457.R Saving _problems/test-covdepGE-463.R Saving _problems/test-covdepGE-469.R Saving _problems/test-covdepGE-475.R Saving _problems/test-covdepGE-481.R Saving _problems/test-covdepGE-507.R Saving _problems/test-covdepGE-512.R [ FAIL 25 | WARN 13 | SKIP 31 | PASS 57 ] ══ Skipped tests (31) ══════════════════════════════════════════════════════════ • On CRAN (31): 'test-covdepGE.R:7:3', 'test-covdepGE.R:174:3', 'test-covdepGE.R:181:3', 'test-covdepGE.R:336:1', 'test-covdepGE.R:341:1', 'test-covdepGE.R:345:1', 'test-covdepGE.R:350:1', 'test-covdepGE.R:355:1', 'test-covdepGE.R:360:1', 'test-covdepGE.R:365:1', 'test-covdepGE.R:370:1', 'test-covdepGE.R:375:1', 'test-covdepGE.R:380:1', 'test-covdepGE.R:385:1', 'test-covdepGE.R:390:1', 'test-covdepGE.R:408:1', 'test-covdepGE.R:414:1', 'test-covdepGE.R:419:1', 'test-covdepGE.R:424:1', 'test-covdepGE.R:431:1', 'test-covdepGE.R:438:1', 'test-covdepGE.R:445:1', 'test-covdepGE.R:454:1', 'test-covdepGE.R:460:1', 'test-covdepGE.R:466:1', 'test-covdepGE.R:472:1', 'test-covdepGE.R:478:1', 'test-covdepGE.R:489:1', 'test-covdepGE.R:497:1', 'test-covdepGE.R:505:1', 'test-covdepGE.R:510:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-covdepGE.R:346:3'): Different vertices give different plots ── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:351:3'): Different vertices give different plots ── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:356:3'): Different line types ───────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:361:3'): Different line size ────────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:366:3'): Different line color ───────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:371:3'): Different line color ───────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:376:3'): Different point shape ──────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:381:3'): Different point size ───────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:386:3'): Different point color ──────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:391:3'): Different point fill ───────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:420:3'): Row and column names are added back ────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:425:3'): Different color 1 ──────────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:427:3'): Different color 1 ──────────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:432:3'): Different color 2 ──────────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:434:3'): Different color 2 ──────────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:439:3'): Different grid color ───────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:441:3'): Different grid color ───────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:450:3'): Include cell values ────────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:455:3'): Precision ──────────────────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:461:3'): Font size ──────────────────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:467:3'): Font color 1 ───────────────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:473:3'): Font color 2 ───────────────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:479:3'): Font threshold ─────────────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:506:3'): Different graph_colors ─────────────────── Expected exactly one failure and no successes. Actually failed 0 times ── Failure ('test-covdepGE.R:511:3'): No title summary ───────────────────────── Expected exactly one failure and no successes. Actually failed 0 times [ FAIL 25 | WARN 13 | SKIP 31 | PASS 57 ] Error: ! Test failures. Execution halted Package: depower Check: Rd files New result: WARNING prepare_Rd: package version mismatch: glmmTMB was built with TMB package version 1.9.17 Current TMB package version is 1.9.18 Please re-install glmmTMB from source or restore original ‘TMB’ package (see '?reinstalling' for more information) Package: difNLR Check: tests New result: ERROR Running ‘testthat.R’ [226s/227s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(difNLR) > > test_check("difNLR") Saving _problems/test-difNLR-14.R Saving _problems/test-difNLR-27.R Saving _problems/test-difNLR-30.R Saving _problems/test-difNLR-33.R Saving _problems/test-difNLR-67.R Saving _problems/test-difNLR-74.R Saving _problems/test-difNLR-82.R Saving _problems/test-difNLR-90.R Saving _problems/test-difNLR-98.R Saving _problems/test-difNLR-105.R Saving _problems/test-difNLR-112.R Saving _problems/test-difNLR-118.R Saving _problems/test-difNLR-125.R Saving _problems/test-difNLR-134.R Saving _problems/test-difNLR-142.R Saving _problems/test-difNLR-377.R $Item6H_6 Trying to recalculate starting values based on bootstrapped samples... The recalculation of starting values was successful. Saving _problems/test-difNLR-627.R $Item5 $Item5 $Item5 $Item5 Saving _problems/test-difORD-14.R Saving _problems/test-difORD-49.R Saving _problems/test-difORD-55.R Saving _problems/test-difORD-61.R Saving _problems/test-difORD-67.R Saving _problems/test-difORD-73.R Saving _problems/test-estimNLR-96.R [ FAIL 24 | WARN 1 | SKIP 16 | PASS 318 ] ══ Skipped tests (16) ══════════════════════════════════════════════════════════ • On CRAN (16): 'test-ddfMLR.R:1:1', 'test-ddfMLR.R:178:1', 'test-ddfMLR.R:209:1', 'test-difNLR.R:1:1', 'test-difNLR.R:306:1', 'test-difNLR.R:323:1', 'test-difNLR.R:534:1', 'test-difNLR.R:577:1', 'test-difORD.R:1:1', 'test-difORD.R:198:1', 'test-difORD.R:238:1', 'test-estimNLR.R:1:1', 'test-genNLR.R:1:1', 'test-genNLR.R:97:1', 'test-startNLR.R:1:1', 'test-startNLR.R:59:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-difNLR.R:14:3'): difNLR - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 ── Failure ('test-difNLR.R:27:3'): difNLR - examples at help page ────────────── Expected `coef(fit1)` to equal `fit1_coef1_expected`. Differences: actual$Item8 vs expected$Item8 [,1] [,2] [,3] - actual$Item8[1, ] 0.8219169 -0.1538132 0.18856090 + expected$Item8[1, ] 0.8219168 -0.1538134 0.18856084 - actual$Item8[2, ] 0.4896848 -1.0273139 -0.06852521 + expected$Item8[2, ] 0.4896850 -1.0273139 -0.06852520 - actual$Item8[3, ] 1.1541490 0.7196874 0.44564701 + expected$Item8[3, ] 1.1541486 0.7196870 0.44564688 actual$Item18 vs expected$Item18 [,1] [,2] [,3] actual$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.7467681 0.2319369 -0.09187736 + expected$Item18[2, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[3, ] 1.2792380 0.8224302 0.15034596 + expected$Item18[3, ] 1.2792380 0.8224303 0.15034599 ── Failure ('test-difNLR.R:30:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE)` to equal `fit1_coef2_expected`. Differences: actual$Item8 vs expected$Item8 [,1] [,2] [,3] - actual$Item8[1, ] 0.8219169 -0.1538132 0.18856090 + expected$Item8[1, ] 0.8219168 -0.1538134 0.18856084 - actual$Item8[2, ] 0.1695093 0.4456718 0.13116879 + expected$Item8[2, ] 0.1695092 0.4456717 0.13116876 - actual$Item8[3, ] 0.4896848 -1.0273139 -0.06852521 + expected$Item8[3, ] 0.4896850 -1.0273139 -0.06852520 - actual$Item8[4, ] 1.1541490 0.7196874 0.44564701 + expected$Item8[4, ] 1.1541486 0.7196870 0.44564688 actual$Item18 vs expected$Item18 [,1] [,2] [,3] actual$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.1358366 0.1506388 0.06179280 + expected$Item18[2, ] 0.1358367 0.1506389 0.06179281 - actual$Item18[3, ] 0.7467681 0.2319369 -0.09187736 + expected$Item18[3, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[4, ] 1.2792380 0.8224302 0.15034596 + expected$Item18[4, ] 1.2792380 0.8224303 0.15034599 ── Failure ('test-difNLR.R:33:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE, simplify = TRUE)` to equal `fit1_coef3_expected`. Differences: actual vs expected a b c actual[26, ] 0.1809697 0.83289393 0.27959452 actual[27, ] 0.3651398 -2.40962136 -0.54799520 actual[28, ] 1.0745281 0.85526284 0.54799520 - actual[29, ] 0.8219169 -0.15381323 0.18856090 + expected[29, ] 0.8219168 -0.15381343 0.18856084 - actual[30, ] 0.1695093 0.44567177 0.13116879 + expected[30, ] 0.1695092 0.44567169 0.13116876 - actual[31, ] 0.4896848 -1.02731386 -0.06852521 + expected[31, ] 0.4896850 -1.02731389 -0.06852520 - actual[32, ] 1.1541490 0.71968739 0.44564701 + expected[32, ] 1.1541486 0.71968703 0.44564688 actual[33, ] 0.6387164 -0.38314116 0.05162489 actual[34, ] 0.1603240 0.81712635 0.22952065 actual[35, ] 0.3244872 -1.98467937 -0.39822733 actual vs expected a b c actual[44, ] 1.1520042 0.06037568 0.41152338 actual[45, ] 0.8977892 0.38216524 0.20920692 actual[46, ] 0.1742646 0.27856840 0.08535422 - actual[47, ] 0.5562369 -0.16381879 0.04191573 + expected[47, ] 0.5562369 -0.16381880 0.04191572 actual[48, ] 1.2393415 0.92814928 0.37649812 actual[49, ] 0.8157721 -0.77457288 0.29437966 actual[50, ] 0.1918456 0.69590763 0.18393642 actual vs expected a b c actual[66, ] 0.1669037 0.40461315 0.11558571 actual[67, ] 0.3576462 -0.03285713 -0.11700521 actual[68, ] 1.0118965 1.55319727 0.33608245 - actual[69, ] 1.0130030 0.52718358 0.02923430 + expected[69, ] 1.0130030 0.52718357 0.02923430 - actual[70, ] 0.1358366 0.15063882 0.06179280 + expected[70, ] 0.1358367 0.15063888 0.06179281 - actual[71, ] 0.7467681 0.23193692 -0.09187736 + expected[71, ] 0.7467680 0.23193679 -0.09187740 - actual[72, ] 1.2792380 0.82243024 0.15034596 + expected[72, ] 1.2792380 0.82243034 0.15034599 actual[73, ] 1.0724564 0.32683925 0.06295113 actual[74, ] 0.1856114 0.19769855 0.07991250 actual[75, ] 0.7086647 -0.06064279 -0.09367449 actual$a | expected$a [26] 0.180969726 | 0.180969726 [26] [27] 0.365139778 | 0.365139778 [27] [28] 1.074528068 | 1.074528068 [28] [29] 0.821916864 - 0.821916793 [29] [30] 0.169509293 - 0.169509153 [30] [31] 0.489684755 - 0.489684958 [31] [32] 1.154148973 - 1.154148629 [32] [33] 0.638716386 | 0.638716386 [33] [34] 0.160323968 | 0.160323968 [34] [35] 0.324487183 | 0.324487183 [35] actual$a | expected$a [43] 0.574045716 | 0.574045716 [43] [44] 1.152004161 | 1.152004161 [44] [45] 0.897789207 | 0.897789207 [45] [46] 0.174264594 - 0.174264595 [46] [47] 0.556236880 - 0.556236876 [47] [48] 1.239341534 - 1.239341538 [48] [49] 0.815772114 | 0.815772114 [49] [50] 0.191845634 | 0.191845634 [50] [51] 0.439761580 | 0.439761580 [51] actual$a | expected$a [66] 0.166903664 | 0.166903664 [66] [67] 0.357646196 | 0.357646196 [67] [68] 1.011896538 | 1.011896538 [68] [69] 1.013003039 - 1.013003027 [69] [70] 0.135836648 - 0.135836674 [70] [71] 0.746768101 - 0.746768039 [71] [72] 1.279237976 - 1.279238015 [72] [73] 1.072456380 | 1.072456380 [73] [74] 0.185611422 | 0.185611422 [74] [75] 0.708664678 | 0.708664678 [75] actual$b | expected$b [26] 0.832893927 | 0.832893927 [26] [27] -2.409621359 | -2.409621359 [27] [28] 0.855262841 | 0.855262841 [28] [29] -0.153813233 - -0.153813428 [29] [30] 0.445671773 - 0.445671689 [30] [31] -1.027313856 - -1.027313887 [31] [32] 0.719687391 - 0.719687031 [32] [33] -0.383141158 | -0.383141158 [33] [34] 0.817126345 | 0.817126345 [34] [35] -1.984679366 | -1.984679366 [35] actual$b | expected$b [43] -1.960728585 | -1.960728585 [43] [44] 0.060375684 | 0.060375684 [44] [45] 0.382165243 | 0.382165243 [45] [46] 0.278568401 - 0.278568404 [46] [47] -0.163818790 - -0.163818797 [47] [48] 0.928149276 - 0.928149283 [48] [49] -0.774572883 | -0.774572883 [49] [50] 0.695907633 | 0.695907633 [50] [51] -2.138526780 | -2.138526780 [51] actual$b | expected$b [66] 0.404613149 | 0.404613149 [66] [67] -0.032857125 | -0.032857125 [67] [68] 1.553197273 | 1.553197273 [68] [69] 0.527183580 - 0.527183565 [69] [70] 0.150638819 - 0.150638876 [70] [71] 0.231936920 - 0.231936795 [71] [72] 0.822430240 - 0.822430336 [72] [73] 0.326839252 | 0.326839252 [73] [74] 0.197698550 | 0.197698550 [74] [75] -0.060642785 | -0.060642785 [75] actual$c | expected$c [26] 0.279594525 | 0.279594525 [26] [27] -0.547995199 | -0.547995199 [27] [28] 0.547995199 | 0.547995199 [28] [29] 0.188560897 - 0.188560839 [29] [30] 0.131168793 - 0.131168755 [30] [31] -0.068525213 - -0.068525197 [31] [32] 0.445647007 - 0.445646875 [32] [33] 0.051624886 | 0.051624886 [33] [34] 0.229520652 | 0.229520652 [34] [35] -0.398227326 | -0.398227326 [35] actual$c | expected$c [43] -0.385549911 | -0.385549911 [43] [44] 0.411523383 | 0.411523383 [44] [45] 0.209206920 | 0.209206920 [45] [46] 0.085354219 - 0.085354220 [46] [47] 0.041915725 - 0.041915723 [47] [48] 0.376498115 - 0.376498117 [48] [49] 0.294379661 | 0.294379661 [49] [50] 0.183936421 | 0.183936421 [50] [51] -0.066129098 | -0.066129098 [51] actual$c | expected$c [66] 0.115585709 | 0.115585709 [66] [67] -0.117005207 | -0.117005207 [67] [68] 0.336082448 | 0.336082448 [68] [69] 0.029234301 - 0.029234295 [69] [70] 0.061792800 - 0.061792815 [70] [71] -0.091877362 - -0.091877396 [71] [72] 0.150345965 - 0.150345987 [72] [73] 0.062951126 | 0.062951126 [73] [74] 0.079912497 | 0.079912497 [74] [75] -0.093674490 | -0.093674490 [75] ── Failure ('test-difNLR.R:67:3'): difNLR - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$Sval | expected$Sval [1] 41.91446590 | 41.91446590 [1] [2] 14.73970661 | 14.73970661 [2] [3] 0.69033084 | 0.69033084 [3] [4] 2.86221711 - 2.86221791 [4] [5] 1.08904070 | 1.08904070 [5] [6] 0.15466706 | 0.15466706 [6] [7] 5.68978837 | 5.68978837 [7] actual$Sval | expected$Sval [12] 1.01430708 | 1.01430708 [12] [13] 3.85490451 | 3.85490451 [13] [14] 1.41492671 | 1.41492671 [14] [15] 1.10837744 - 1.10837665 [15] [16] 0.13939499 - 0.13939486 [16] [17] 2.56488158 | 2.56488158 [17] [18] 1.94129713 | 1.94129713 [18] [19] 4.80670067 | 4.80670067 [19] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$pval | expected$pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629961 | 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043782 - 0.239043686 [4] [5] 0.580119972 | 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] actual$pval | expected$pval [12] 0.602207300 | 0.602207300 [12] [13] 0.145518471 | 0.145518471 [13] [14] 0.492892908 | 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932675918 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] [19] 0.090414527 | 0.090414527 [19] actual$adj.pval | expected$adj.pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629961 | 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043782 - 0.239043686 [4] [5] 0.580119972 | 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] actual$adj.pval | expected$adj.pval [12] 0.602207300 | 0.602207300 [12] [13] 0.145518471 | 0.145518471 [13] [14] 0.492892908 | 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932675918 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] [19] 0.090414527 | 0.090414527 [19] ── Failure ('test-difNLR.R:74:3'): difNLR - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 ── Failure ('test-difNLR.R:82:3'): difNLR - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.401197762 - 0.401197856 [1] [2] 0.178215930 - 0.178215952 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.149918697 - 0.149918758 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.201224594 0.140058483 0.067742972 `expected$seM0$Item2`: 0.201224549 0.140058472 0.067742918 `actual$seM0$Item8`: 0.401197762 0.178215930 0.149918697 `expected$seM0$Item8`: 0.401197856 0.178215952 0.149918758 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.04049134 -0.022395787 -0.013017637 + expected$covM0$Item2[1, ] 0.04049132 -0.022395776 -0.013017623 - actual$covM0$Item2[2, ] -0.02239579 0.019616379 0.007736527 + expected$covM0$Item2[2, ] -0.02239578 0.019616376 0.007736518 - actual$covM0$Item2[3, ] -0.01301764 0.007736527 0.004589110 + expected$covM0$Item2[3, ] -0.01301762 0.007736518 0.004589103 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.16095964 -0.06601989 -0.05950329 + expected$covM0$Item8[1, ] 0.16095972 -0.06601992 -0.05950333 - actual$covM0$Item8[2, ] -0.06601989 0.03176092 0.02478046 + expected$covM0$Item8[2, ] -0.06601992 0.03176093 0.02478048 - actual$covM0$Item8[3, ] -0.05950329 0.02478046 0.02247562 + expected$covM0$Item8[3, ] -0.05950333 0.02478048 0.02247563 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.433862773 - 0.433862784 [1] [2] 0.143168315 - 0.143168318 [2] [3] 0.096666823 | 0.096666823 [3] [4] 0.093469202 | 0.093469202 [4] [5] 0.199418936 - 0.199418941 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.210469737 - 0.210469732 [1] [2] 0.136469436 - 0.136469438 [2] [3] 0.120126749 - 0.120126750 [3] [4] 0.136762974 - 0.136762975 [4] [5] 0.053001686 - 0.053001689 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.81404561 -0.143623881 -0.036790370 0.012083824 -0.61299622 + expected$covM1$Item4[1, ] 0.81404560 -0.143623886 -0.036790367 0.012083838 -0.61299621 - actual$covM1$Item4[2, ] -0.14362388 0.033532974 0.003260785 -0.010009923 0.11059981 + expected$covM1$Item4[2, ] -0.14362389 0.033532976 0.003260785 -0.010009925 0.11059981 - actual$covM1$Item4[3, ] -0.03679037 0.003260785 0.016150301 0.005334551 0.02288197 + expected$covM1$Item4[3, ] -0.03679037 0.003260785 0.016150301 0.005334550 0.02288197 - actual$covM1$Item4[4, ] 0.01208382 -0.010009923 0.005334551 0.016145291 -0.01091319 + expected$covM1$Item4[4, ] 0.01208384 -0.010009925 0.005334550 0.016145291 -0.01091320 - actual$covM1$Item4[5, ] -0.61299622 0.110599810 0.022881971 -0.010913190 0.46532535 + expected$covM1$Item4[5, ] -0.61299621 0.110599813 0.022881969 -0.010913201 0.46532534 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.188236906 -0.054552810 -0.0142410655 0.0064748047 -0.085510546 + expected$covM1$Item15[1, ] 0.188236915 -0.054552813 -0.0142410660 0.0064748053 -0.085510550 - actual$covM1$Item15[2, ] -0.054552810 0.020497166 0.0028843201 -0.0062397888 0.025359905 + expected$covM1$Item15[2, ] -0.054552813 0.020497167 0.0028843203 -0.0062397890 0.025359906 - actual$covM1$Item15[3, ] -0.014241065 0.002884320 0.0093444747 -0.0003460474 0.004556433 + expected$covM1$Item15[3, ] -0.014241066 0.002884320 0.0093444747 -0.0003460475 0.004556434 - actual$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460474 0.0087364918 -0.003001133 + expected$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460475 0.0087364918 -0.003001133 - actual$covM1$Item15[5, ] -0.085510546 0.025359905 0.0045564334 -0.0030011328 0.039767912 + expected$covM1$Item15[5, ] -0.085510550 0.025359906 0.0045564337 -0.0030011331 0.039767914 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.044297510 -0.021564264 -0.0064130492 -0.001938253 -0.0102238774 + expected$covM1$Item16[1, ] 0.044297508 -0.021564263 -0.0064130417 -0.001938256 -0.0102238778 - actual$covM1$Item16[2, ] -0.021564264 0.018623907 0.0017297361 -0.006306357 0.0053161670 + expected$covM1$Item16[2, ] -0.021564263 0.018623907 0.0017297317 -0.006306356 0.0053161675 - actual$covM1$Item16[3, ] -0.006413049 0.001729736 0.0144304358 -0.005175775 -0.0002274551 + expected$covM1$Item16[3, ] -0.006413042 0.001729732 0.0144304360 -0.005175775 -0.0002274572 - actual$covM1$Item16[4, ] -0.001938253 -0.006306357 -0.0051757745 0.018704111 0.0011715047 + expected$covM1$Item16[4, ] -0.001938256 -0.006306356 -0.0051757752 0.018704111 0.0011715055 - actual$covM1$Item16[5, ] -0.010223877 0.005316167 -0.0002274551 0.001171505 0.0028091787 + expected$covM1$Item16[5, ] -0.010223878 0.005316167 -0.0002274572 0.001171505 0.0028091791 ── Failure ('test-difNLR.R:90:3'): difNLR - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 ── Failure ('test-difNLR.R:98:3'): difNLR - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.177472710 - 0.177473254 [1] [2] 0.330349777 - 0.330349701 [2] [3] -0.450899418 - -0.450899245 [3] [4] 0.431260691 - 0.431260473 [4] [5] 0.150360097 - 0.150359863 [5] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] 0.517161361 - 0.517161486 [1] [2] 0.880409704 - 0.880409640 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.340100107 - 0.340100060 [5] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.370317544 - 0.370317782 [1] [2] 0.096151384 - 0.096151362 [2] [3] 0.175279549 - 0.175279502 [3] [4] 0.199426775 - 0.199426759 [4] [5] 0.163932678 - 0.163932877 [5] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.380400043 - 0.380400034 [1] [2] 0.196782418 - 0.196782426 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.142054522 - 0.142054552 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211097181 - 0.211097192 [1] [2] 0.130432714 - 0.130432711 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.068716094 - 0.068716096 [5] `actual$parM0$Item13`: 0.517161361 0.880409704 0.340100107 `expected$parM0$Item13`: 0.517161486 0.880409640 0.340100060 `actual$seM0$Item13`: 0.380400043 0.196782418 0.142054522 `expected$seM0$Item13`: 0.380400034 0.196782426 0.142054552 `actual$seM0$Item18`: 0.211097181 0.130432714 0.068716094 `expected$seM0$Item18`: 0.211097192 0.130432711 0.068716096 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] - actual$covM0$Item13[1, ] 0.14470419 -0.06411145 -0.05308457 + expected$covM0$Item13[1, ] 0.14470419 -0.06411146 -0.05308458 - actual$covM0$Item13[2, ] -0.06411145 0.03872332 0.02506125 + expected$covM0$Item13[2, ] -0.06411146 0.03872332 0.02506126 - actual$covM0$Item13[3, ] -0.05308457 0.02506125 0.02017949 + expected$covM0$Item13[3, ] -0.05308458 0.02506126 0.02017950 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04456202 -0.024053316 -0.014090872 + expected$covM0$Item18[1, ] 0.04456202 -0.024053317 -0.014090873 - actual$covM0$Item18[2, ] -0.02405332 0.017012693 0.007756721 + expected$covM0$Item18[2, ] -0.02405332 0.017012692 0.007756721 actual$covM0$Item18[3, ] -0.01409087 0.007756721 0.004721902 actual$parM1$Item2 | expected$parM1$Item2 [1] 0.177472710 - 0.177473254 [1] [2] 0.330349777 - 0.330349701 [2] [3] -0.450899418 - -0.450899245 [3] [4] 0.431260691 - 0.431260473 [4] [5] 0.150360097 - 0.150359863 [5] actual$parM1$Item14 | expected$parM1$Item14 [1] -0.424718732 - -0.424718652 [1] [2] 0.930618591 - 0.930618543 [2] [3] 0.045223607 - 0.045223635 [3] [4] -0.080158239 - -0.080158236 [4] [5] 0.048109543 - 0.048109514 [5] actual$parM1$Item19 | expected$parM1$Item19 [1] -0.138452239 - -0.138453420 [1] [2] 0.991225098 - 0.991225705 [2] [3] 0.064397463 - 0.064397656 [3] [4] -0.209346522 - -0.209346606 [4] [5] 0.008790044 - 0.008790492 [5] actual$parM1$Item20 | expected$parM1$Item20 [1] -0.976893375 - -0.976893389 [1] [2] 1.117935443 - 1.117935456 [2] [3] -0.419267085 - -0.419267083 [3] [4] 0.218094706 - 0.218094691 [4] [5] 0.175380839 - 0.175380840 [5] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.370317544 - 0.370317782 [1] [2] 0.096151384 - 0.096151362 [2] [3] 0.175279549 - 0.175279502 [3] [4] 0.199426775 - 0.199426759 [4] [5] 0.163932678 - 0.163932877 [5] actual$seM1$Item14 | expected$seM1$Item14 [1] 0.260152167 - 0.260152196 [1] [2] 0.167126026 - 0.167126056 [2] [3] 0.106400891 - 0.106400876 [3] [4] 0.136296588 - 0.136296582 [4] [5] 0.080290594 - 0.080290613 [5] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.248830906 - 0.248831216 [1] [2] 0.169914986 - 0.169915245 [2] [3] 0.098203305 - 0.098203377 [3] [4] 0.134438082 - 0.134438188 [4] [5] 0.094481052 - 0.094481002 [5] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.232092240 - 0.232092242 [1] [2] 0.184527261 - 0.184527265 [2] [3] 0.198007123 - 0.198007134 [3] [4] 0.219756190 - 0.219756197 [4] [5] 0.038219442 | 0.038219442 [5] actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.13713508 -0.020291521 0.043707157 -0.056503115 -0.059469850 + expected$covM1$Item2[1, ] 0.13713526 -0.020291533 0.043707184 -0.056503164 -0.059469963 - actual$covM1$Item2[2, ] -0.02029152 0.009245089 -0.008364506 0.002923690 0.009423516 + expected$covM1$Item2[2, ] -0.02029153 0.009245084 -0.008364505 0.002923694 0.009423526 - actual$covM1$Item2[3, ] 0.04370716 -0.008364506 0.030722920 -0.021992221 -0.022251231 + expected$covM1$Item2[3, ] 0.04370718 -0.008364505 0.030722904 -0.021992215 -0.022251254 - actual$covM1$Item2[4, ] -0.05650312 0.002923690 -0.021992221 0.039771038 0.025279332 + expected$covM1$Item2[4, ] -0.05650316 0.002923694 -0.021992215 0.039771032 0.025279367 - actual$covM1$Item2[5, ] -0.05946985 0.009423516 -0.022251231 0.025279332 0.026873923 + expected$covM1$Item2[5, ] -0.05946996 0.009423526 -0.022251254 0.025279367 0.026873988 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.067679150 -0.035427232 -0.0088074015 0.007413740 -0.0199846925 + expected$covM1$Item14[1, ] 0.067679165 -0.035427246 -0.0088073978 0.007413743 -0.0199846997 - actual$covM1$Item14[2, ] -0.035427232 0.027931109 0.0033840722 -0.012683715 0.0108774193 + expected$covM1$Item14[2, ] -0.035427246 0.027931119 0.0033840700 -0.012683717 0.0108774251 - actual$covM1$Item14[3, ] -0.008807401 0.003384072 0.0113211496 -0.003782322 0.0009940872 + expected$covM1$Item14[3, ] -0.008807398 0.003384070 0.0113211464 -0.003782317 0.0009940865 - actual$covM1$Item14[4, ] 0.007413740 -0.012683715 -0.0037823216 0.018576760 -0.0018409430 + expected$covM1$Item14[4, ] 0.007413743 -0.012683717 -0.0037823172 0.018576758 -0.0018409446 - actual$covM1$Item14[5, ] -0.019984693 0.010877419 0.0009940872 -0.001840943 0.0064465795 + expected$covM1$Item14[5, ] -0.019984700 0.010877425 0.0009940865 -0.001840945 0.0064465825 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.061916820 -0.033995629 -0.009297763 0.011445863 -0.022559511 + expected$covM1$Item19[1, ] 0.061916974 -0.033995739 -0.009297808 0.011445886 -0.022559528 - actual$covM1$Item19[2, ] -0.033995629 0.028871102 0.003012574 -0.015593392 0.013283449 + expected$covM1$Item19[2, ] -0.033995739 0.028871191 0.003012605 -0.015593422 0.013283466 - actual$covM1$Item19[3, ] -0.009297763 0.003012574 0.009643889 -0.001762179 0.001738452 + expected$covM1$Item19[3, ] -0.009297808 0.003012605 0.009643903 -0.001762197 0.001738464 - actual$covM1$Item19[4, ] 0.011445863 -0.015593392 -0.001762179 0.018073598 -0.004360636 + expected$covM1$Item19[4, ] 0.011445886 -0.015593422 -0.001762197 0.018073626 -0.004360635 - actual$covM1$Item19[5, ] -0.022559511 0.013283449 0.001738452 -0.004360636 0.008926669 + expected$covM1$Item19[5, ] -0.022559528 0.013283466 0.001738464 -0.004360635 0.008926660 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.0538668081 -0.0330202700 0.0001421080 -0.0001651629 -0.007745173 + expected$covM1$Item20[1, ] 0.0538668090 -0.0330202716 0.0001421085 -0.0001651634 -0.007745174 - actual$covM1$Item20[2, ] -0.0330202700 0.0340503099 0.0004877110 -0.0140608872 0.004665347 + expected$covM1$Item20[2, ] -0.0330202716 0.0340503117 0.0004877116 -0.0140608873 0.004665347 - actual$covM1$Item20[3, ] 0.0001421080 0.0004877110 0.0392068206 -0.0286260615 -0.002440810 + expected$covM1$Item20[3, ] 0.0001421085 0.0004877116 0.0392068249 -0.0286260662 -0.002440811 - actual$covM1$Item20[4, ] -0.0001651629 -0.0140608872 -0.0286260615 0.0482927830 0.001593366 + expected$covM1$Item20[4, ] -0.0001651634 -0.0140608873 -0.0286260662 0.0482927862 0.001593366 - actual$covM1$Item20[5, ] -0.0077451735 0.0046653466 -0.0024408104 0.0015933660 0.001460726 + expected$covM1$Item20[5, ] -0.0077451736 0.0046653468 -0.0024408107 0.0015933663 0.001460726 ── Failure ('test-difNLR.R:105:3'): difNLR - examples at help page ───────────── Expected `fit7` to equal `fit7_expected`. Differences: actual$nlrPAR[[6]] | expected$nlrPAR[[6]] [1] -2.860756754 - -2.860756501 [1] [2] 0.294079146 - 0.294079133 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061526225 - 0.061526174 [5] actual$nlrPAR[[7]] | expected$nlrPAR[[7]] [1] -2.129766181 - -2.129766291 [1] [2] 0.231768177 - 0.231768187 [2] [3] 0.491042687 - 0.491042882 [3] [4] -0.020552482 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -3.761189285 - -3.761189457 [1] [2] 0.283317057 - 0.283317067 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.071987400 - 0.071987417 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -4.318486592 - -4.318486900 [1] [2] 0.326161178 - 0.326161197 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234264 - 0.029234292 [5] actual$nlrSE[[6]] | expected$nlrSE[[6]] [1] 0.800032077 - 0.800031842 [1] [2] 0.047732091 - 0.047732076 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.147258537 - 0.147258520 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 1.112354923 - 1.112354869 [1] [2] 0.058267614 - 0.058267613 [2] [3] 0.456091925 | 0.456091925 [3] [4] 0.039381406 - 0.039381404 [4] [5] 0.279594382 - 0.279594362 [5] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.793606682 - 0.793606758 [1] [2] 0.047284327 - 0.047284332 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.079848859 - 0.079848857 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.699329966 - 0.699330191 [1] [2] 0.043735932 - 0.043735945 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792805 - 0.061792814 [5] `actual$parM0$Item6`: -2.860756754 0.294079146 0.061526225 `expected$parM0$Item6`: -2.860756501 0.294079133 0.061526174 `actual$parM0$Item14`: -3.761189285 0.283317057 0.071987400 `expected$parM0$Item14`: -3.761189457 0.283317067 0.071987417 `actual$parM0$Item18`: -4.318486592 0.326161178 0.029234264 `expected$parM0$Item18`: -4.318486900 0.326161197 0.029234292 `actual$seM0$Item6`: 0.800032077 0.047732091 0.147258537 `expected$seM0$Item6`: 0.800031842 0.047732076 0.147258520 `actual$seM0$Item14`: 0.793606682 0.047284327 0.079848859 `expected$seM0$Item14`: 0.793606758 0.047284332 0.079848857 `actual$seM0$Item18`: 0.699329966 0.043735932 0.061792805 `expected$seM0$Item18`: 0.699330191 0.043735945 0.061792814 actual$covM0$Item6 vs expected$covM0$Item6 [,1] [,2] [,3] - actual$covM0$Item6[1, ] 0.64005132 -0.037549103 -0.112527497 + expected$covM0$Item6[1, ] 0.64005095 -0.037549080 -0.112527448 - actual$covM0$Item6[2, ] -0.03754910 0.002278352 0.006281254 + expected$covM0$Item6[2, ] -0.03754908 0.002278351 0.006281251 - actual$covM0$Item6[3, ] -0.11252750 0.006281254 0.021685077 + expected$covM0$Item6[3, ] -0.11252745 0.006281251 0.021685072 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] - actual$covM0$Item14[1, ] 0.62981157 -0.037094873 -0.059352624 + expected$covM0$Item14[1, ] 0.62981169 -0.037094881 -0.059352628 - actual$covM0$Item14[2, ] -0.03709487 0.002235808 0.003335018 + expected$covM0$Item14[2, ] -0.03709488 0.002235808 0.003335019 - actual$covM0$Item14[3, ] -0.05935262 0.003335018 0.006375840 + expected$covM0$Item14[3, ] -0.05935263 0.003335019 0.006375840 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.48906240 -0.030252560 -0.039490274 + expected$covM0$Item18[1, ] 0.48906272 -0.030252579 -0.039490295 - actual$covM0$Item18[2, ] -0.03025256 0.001912832 0.002316727 + expected$covM0$Item18[2, ] -0.03025258 0.001912833 0.002316728 - actual$covM0$Item18[3, ] -0.03949027 0.002316727 0.003818351 + expected$covM0$Item18[3, ] -0.03949029 0.002316728 0.003818352 actual$parM1$Item6 | expected$parM1$Item6 [1] -2.765638706 - -2.765638638 [1] [2] 0.287085848 - 0.287085835 [2] [3] -0.161355944 - -0.161356361 [3] [4] 0.012414614 - 0.012414657 [4] [5] 0.058681823 - 0.058681846 [5] actual$parM1$Item7 | expected$parM1$Item7 [1] -2.129766181 - -2.129766291 [1] [2] 0.231768177 - 0.231768187 [2] [3] 0.491042687 - 0.491042882 [3] [4] -0.020552482 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] actual$parM1$Item9 | expected$parM1$Item9 [1] -2.290274718 - -2.290273162 [1] [2] 0.217155694 - 0.217155620 [2] [3] 0.277064738 - 0.277064638 [3] [4] -0.021873580 - -0.021873572 [4] [5] 0.053448573 - 0.053448232 [5] actual$parM1$Item13 | expected$parM1$Item13 [1] -1.695664217 - -1.695663657 [1] [2] 0.205923033 - 0.205923013 [2] [3] -0.760493891 - -0.760493588 [3] [4] 0.085496308 - 0.085496279 [4] [5] 0.218226211 - 0.218226052 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -4.597410312 - -4.597409267 [1] [2] 0.341940607 - 0.341940538 [2] [3] 0.426500848 - 0.426500064 [3] [4] -0.023314095 - -0.023314034 [4] [5] 0.033834987 - 0.033834929 [5] actual$seM1$Item6 | expected$seM1$Item6 [1] 0.812904466 - 0.812904715 [1] [2] 0.050646083 - 0.050646097 [2] [3] 0.473809295 - 0.473809386 [3] [4] 0.042832466 - 0.042832471 [4] [5] 0.148477253 - 0.148477291 [5] actual$seM1$Item7 | expected$seM1$Item7 [1] 1.112354923 - 1.112354869 [1] [2] 0.058267614 - 0.058267613 [2] [3] 0.456091925 | 0.456091925 [3] [4] 0.039381406 - 0.039381404 [4] [5] 0.279594382 - 0.279594362 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 1.106076330 - 1.106075897 [1] [2] 0.058189935 - 0.058189893 [2] [3] 0.438636888 - 0.438636645 [3] [4] 0.037649369 - 0.037649352 [4] [5] 0.225906353 - 0.225906565 [5] actual$seM1$Item13 | expected$seM1$Item13 [1] 1.022513375 - 1.022513431 [1] [2] 0.052074429 - 0.052074427 [2] [3] 0.545490371 - 0.545490169 [3] [4] 0.051390956 - 0.051390938 [4] [5] 0.235235576 - 0.235235702 [5] actual$seM1$Item18 | expected$seM1$Item18 [1] 0.806157612 - 0.806157708 [1] [2] 0.052593311 - 0.052593315 [2] [3] 0.586538776 - 0.586538612 [3] [4] 0.046215383 - 0.046215370 [4] [5] 0.059982953 - 0.059982978 [5] actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item6[1, ] 0.660813670 -0.0400030143 -0.077742030 0.0071382098 -0.1103238235 + expected$covM1$Item6[1, ] 0.660814076 -0.0400030387 -0.077741933 0.0071382021 -0.1103238931 - actual$covM1$Item6[2, ] -0.040003014 0.0025650257 0.007898242 -0.0007554418 0.0060745901 + expected$covM1$Item6[2, ] -0.040003039 0.0025650272 0.007898237 -0.0007554414 0.0060745944 - actual$covM1$Item6[3, ] -0.077742030 0.0078982417 0.224495248 -0.0198123436 -0.0061886573 + expected$covM1$Item6[3, ] -0.077741933 0.0078982366 0.224495334 -0.0198123498 -0.0061886780 - actual$covM1$Item6[4, ] 0.007138210 -0.0007554418 -0.019812344 0.0018346201 0.0004926302 + expected$covM1$Item6[4, ] 0.007138202 -0.0007554414 -0.019812350 0.0018346206 0.0004926318 - actual$covM1$Item6[5, ] -0.110323824 0.0060745901 -0.006188657 0.0004926302 0.0220454945 + expected$covM1$Item6[5, ] -0.110323893 0.0060745944 -0.006188678 0.0004926318 0.0220455059 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 1.23733347 -0.063366068 -0.31469687 0.022910429 -0.300610340 + expected$covM1$Item7[1, ] 1.23733335 -0.063366063 -0.31469690 0.022910432 -0.300610303 - actual$covM1$Item7[2, ] -0.06336607 0.003395115 0.01846587 -0.001426337 0.014629230 + expected$covM1$Item7[2, ] -0.06336606 0.003395115 0.01846587 -0.001426338 0.014629229 - actual$covM1$Item7[3, ] -0.31469687 0.018465870 0.20801984 -0.017413287 0.060680842 + expected$covM1$Item7[3, ] -0.31469690 0.018465872 0.20801984 -0.017413286 0.060680849 - actual$covM1$Item7[4, ] 0.02291043 -0.001426337 -0.01741329 0.001550895 -0.004108836 + expected$covM1$Item7[4, ] 0.02291043 -0.001426338 -0.01741329 0.001550895 -0.004108837 - actual$covM1$Item7[5, ] -0.30061034 0.014629230 0.06068084 -0.004108836 0.078173019 + expected$covM1$Item7[5, ] -0.30061030 0.014629229 0.06068085 -0.004108837 0.078173007 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 1.22340485 -0.062963747 -0.19961493 0.016058281 -0.239970298 + expected$covM1$Item9[1, ] 1.22340389 -0.062963675 -0.19961479 0.016058269 -0.239970432 - actual$covM1$Item9[2, ] -0.06296375 0.003386069 0.01307774 -0.001100515 0.011692984 + expected$covM1$Item9[2, ] -0.06296367 0.003386064 0.01307773 -0.001100514 0.011692985 - actual$covM1$Item9[3, ] -0.19961493 0.013077745 0.19240232 -0.016085562 0.022244323 + expected$covM1$Item9[3, ] -0.19961479 0.013077732 0.19240211 -0.016085545 0.022244344 - actual$covM1$Item9[4, ] 0.01605828 -0.001100515 -0.01608556 0.001417475 -0.001717755 + expected$covM1$Item9[4, ] 0.01605827 -0.001100514 -0.01608555 0.001417474 -0.001717757 - actual$covM1$Item9[5, ] -0.23997030 0.011692984 0.02224432 -0.001717755 0.051033680 + expected$covM1$Item9[5, ] -0.23997043 0.011692985 0.02224434 -0.001717757 0.051033776 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 1.04553360 -5.082766e-02 0.0963631853 -1.078600e-02 -0.227807363 + expected$covM1$Item13[1, ] 1.04553372 -5.082766e-02 0.0963631018 -1.078600e-02 -0.227807504 - actual$covM1$Item13[2, ] -0.05082766 2.711746e-03 0.0004969759 3.961036e-06 0.010040925 + expected$covM1$Item13[2, ] -0.05082766 2.711746e-03 0.0004969787 3.960824e-06 0.010040930 - actual$covM1$Item13[3, ] 0.09636319 4.969759e-04 0.2975597447 -2.734946e-02 -0.049566222 + expected$covM1$Item13[3, ] 0.09636310 4.969787e-04 0.2975595246 -2.734944e-02 -0.049566213 - actual$covM1$Item13[4, ] -0.01078600 3.961036e-06 -0.0273494553 2.641030e-03 0.004925403 + expected$covM1$Item13[4, ] -0.01078600 3.960824e-06 -0.0273494353 2.641029e-03 0.004925402 - actual$covM1$Item13[5, ] -0.22780736 1.004092e-02 -0.0495662225 4.925403e-03 0.055335776 + expected$covM1$Item13[5, ] -0.22780750 1.004093e-02 -0.0495662131 4.925402e-03 0.055335835 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.64989010 -0.041811549 -0.245923882 0.0182463987 -0.0410512296 + expected$covM1$Item18[1, ] 0.64989025 -0.041811557 -0.245923777 0.0182463909 -0.0410512574 - actual$covM1$Item18[2, ] -0.04181155 0.002766056 0.017856116 -0.0013686293 0.0024343619 + expected$covM1$Item18[2, ] -0.04181156 0.002766057 0.017856109 -0.0013686287 0.0024343635 - actual$covM1$Item18[3, ] -0.24592388 0.017856116 0.344027736 -0.0266760285 0.0056454178 + expected$covM1$Item18[3, ] -0.24592378 0.017856109 0.344027543 -0.0266760134 0.0056454190 - actual$covM1$Item18[4, ] 0.01824640 -0.001368629 -0.026676028 0.0021358616 -0.0003689830 + expected$covM1$Item18[4, ] 0.01824639 -0.001368629 -0.026676013 0.0021358604 -0.0003689831 - actual$covM1$Item18[5, ] -0.04105123 0.002434362 0.005645418 -0.0003689830 0.0035979546 + expected$covM1$Item18[5, ] -0.04105126 0.002434364 0.005645419 -0.0003689831 0.0035979576 ── Failure ('test-difNLR.R:112:3'): difNLR - examples at help page ───────────── Expected `fit8` to equal `fit8_expected`. Differences: actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.597985900 - 0.597985847 [1] [2] 1.156918830 - 1.156918663 [2] [3] -0.514219172 - -0.514219097 [3] [4] 0.111767616 - 0.111767570 [4] [5] 0.920269609 - 0.920269643 [5] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.256279444 - 0.256279449 [1] [2] 0.335866760 - 0.335866689 [2] [3] 0.193369361 - 0.193369325 [3] [4] 0.107757106 - 0.107757121 [4] [5] 0.073776161 - 0.073776176 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.284859518 - 0.284859523 [1] [2] 0.399762956 - 0.399762947 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.044980133 - 0.044980132 [4] [5] 0.187248913 - 0.187248908 [5] `actual$seM0$Item20`: 0.284859518 0.399762956 0.044980133 0.187248913 `expected$seM0$Item20`: 0.284859523 0.399762947 0.044980132 0.187248908 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] [,4] - actual$covM0$Item20[1, ] 0.081144945 -0.01830561 -0.006659124 -0.015218388 + expected$covM0$Item20[1, ] 0.081144948 -0.01830561 -0.006659124 -0.015218388 - actual$covM0$Item20[2, ] -0.018305606 0.15981042 0.015099960 -0.065639907 + expected$covM0$Item20[2, ] -0.018305608 0.15981041 0.015099959 -0.065639903 actual$covM0$Item20[3, ] -0.006659124 0.01509996 0.002023212 -0.005189033 - actual$covM0$Item20[4, ] -0.015218388 -0.06563991 -0.005189033 0.035062155 + expected$covM0$Item20[4, ] -0.015218388 -0.06563990 -0.005189033 0.035062154 actual$parM1$Item2 | expected$parM1$Item2 [1] 0.597985900 - 0.597985847 [1] [2] 1.156918830 - 1.156918663 [2] [3] -0.514219172 - -0.514219097 [3] [4] 0.111767616 - 0.111767570 [4] [5] 0.920269609 - 0.920269643 [5] actual$parM1$Item3 | expected$parM1$Item3 [1] 1.507978797 - 1.507978832 [1] [2] 0.917941861 - 0.917941949 [2] [3] 0.075486495 - 0.075486759 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.903360998 - 0.903360977 [5] actual$parM1$Item8 | expected$parM1$Item8 [1] 0.082385659 - 0.082385051 [1] [2] 0.830626126 - 0.830626403 [2] [3] 0.046172880 - 0.046172822 [3] [4] 0.196301810 - 0.196302045 [4] [5] 1.000000000 | 1.000000000 [5] `actual$parM1$Item9`: 0.24040932 0.63539679 0.03016191 0.04631914 1.00000000 `expected$parM1$Item9`: 0.24040832 0.63539707 0.03016213 0.04631958 1.00000000 actual$parM1$Item12 | expected$parM1$Item12 [1] -0.433876993 - -0.433876975 [1] [2] 0.921956021 - 0.921956009 [2] [3] 0.099762694 - 0.099762693 [3] [4] 0.220123115 - 0.220123110 [4] [5] 1.000000000 | 1.000000000 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510654562 - -0.510654210 [1] [2] 1.080508002 - 1.080507944 [2] [3] 0.015599456 - 0.015598920 [3] [4] 0.076472713 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -0.600332460 - -0.600332436 [1] [2] 1.014631448 - 1.014631427 [2] [3] 0.134705322 - 0.134705348 [3] [4] 0.028827923 - 0.028827912 [4] [5] 1.000000000 | 1.000000000 [5] `actual$parM1$Item19`: -0.18778238 0.85453878 0.14282620 0.01274498 1.00000000 `expected$parM1$Item19`: -0.18778293 0.85453903 0.14282632 0.01274518 1.00000000 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.192646663 - -1.192646644 [1] [2] 1.218708172 - 1.218708167 [2] [3] -0.193708132 - -0.193708151 [3] [4] 0.195847969 - 0.195847968 [4] [5] 1.000000000 | 1.000000000 [5] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.256279444 - 0.256279449 [1] [2] 0.335866760 - 0.335866689 [2] [3] 0.193369361 - 0.193369325 [3] [4] 0.107757106 - 0.107757121 [4] [5] 0.073776161 - 0.073776176 [5] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.521636660 - 0.521636597 [1] [2] 0.468280887 - 0.468280877 [2] [3] 0.139852135 - 0.139852165 [3] [4] 0.548974196 - 0.548974120 [4] [5] 0.065226156 - 0.065226143 [5] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.357743238 - 0.357742983 [1] [2] 0.449173685 - 0.449173523 [2] [3] 0.120023338 - 0.120023326 [3] [4] 0.199479185 - 0.199478897 [4] [5] 0.168186212 - 0.168186104 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.474256177 - 0.474255764 [1] [2] 0.533609220 - 0.533608761 [2] [3] 0.101035059 - 0.101035143 [3] [4] 0.444278193 - 0.444276968 [4] [5] 0.288364865 - 0.288364587 [5] actual$seM1$Item12 | expected$seM1$Item12 [1] 0.336646938 - 0.336646944 [1] [2] 0.435268570 - 0.435268587 [2] [3] 0.136765439 - 0.136765472 [3] [4] 0.118180623 - 0.118180630 [4] [5] 0.191265456 - 0.191265468 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.233415158 - 0.233415147 [1] [2] 0.317610829 - 0.317610849 [2] [3] 0.109179248 - 0.109179312 [3] [4] 0.079269037 - 0.079269049 [4] [5] 0.140601358 - 0.140601371 [5] actual$seM1$Item18 | expected$seM1$Item18 [1] 0.235640824 - 0.235640788 [1] [2] 0.311619233 - 0.311619184 [2] [3] 0.109317175 - 0.109317182 [3] [4] 0.086003787 - 0.086003770 [4] [5] 0.162425735 - 0.162425751 [5] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.279334792 - 0.279334683 [1] [2] 0.353276217 - 0.353276835 [2] [3] 0.112688877 - 0.112688973 [3] [4] 0.159165465 - 0.159165509 [4] [5] 0.182483039 - 0.182483219 [5] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.292370307 - 0.292370300 [1] [2] 0.394802887 - 0.394802900 [2] [3] 0.161955537 - 0.161955547 [3] [4] 0.047927639 - 0.047927641 [4] [5] 0.192097512 - 0.192097516 [5] actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.065679154 0.02566519 -0.019609044 -0.002997836 -0.012192613 + expected$covM1$Item2[1, ] 0.065679156 0.02566518 -0.019609039 -0.002997838 -0.012192615 - actual$covM1$Item2[2, ] 0.025665190 0.11280648 -0.048561392 0.031702945 -0.021355351 + expected$covM1$Item2[2, ] 0.025665183 0.11280643 -0.048561371 0.031702942 -0.021355351 - actual$covM1$Item2[3, ] -0.019609044 -0.04856139 0.037391710 -0.014072577 0.009551815 + expected$covM1$Item2[3, ] -0.019609039 -0.04856137 0.037391696 -0.014072576 0.009551815 - actual$covM1$Item2[4, ] -0.002997836 0.03170294 -0.014072577 0.011611594 -0.005036032 + expected$covM1$Item2[4, ] -0.002997838 0.03170294 -0.014072576 0.011611597 -0.005036033 - actual$covM1$Item2[5, ] -0.012192613 -0.02135535 0.009551815 -0.005036032 0.005442922 + expected$covM1$Item2[5, ] -0.012192615 -0.02135535 0.009551815 -0.005036033 0.005442924 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item3[1, ] 0.272104806 -0.12863746 -0.020122594 -0.22500310 0.006606135 + expected$covM1$Item3[1, ] 0.272104740 -0.12863744 -0.020122622 -0.22500304 0.006606133 - actual$covM1$Item3[2, ] -0.128637462 0.21928699 0.018169230 0.23931738 -0.027586335 + expected$covM1$Item3[2, ] -0.128637437 0.21928698 0.018169284 0.23931734 -0.027586329 - actual$covM1$Item3[3, ] -0.020122594 0.01816923 0.019558620 0.02033012 -0.002319488 + expected$covM1$Item3[3, ] -0.020122622 0.01816928 0.019558628 0.02033018 -0.002319495 - actual$covM1$Item3[4, ] -0.225003100 0.23931738 0.020330125 0.30137267 -0.026579272 + expected$covM1$Item3[4, ] -0.225003038 0.23931734 0.020330182 0.30137258 -0.026579263 - actual$covM1$Item3[5, ] 0.006606135 -0.02758634 -0.002319488 -0.02657927 0.004254451 + expected$covM1$Item3[5, ] 0.006606133 -0.02758633 -0.002319495 -0.02657926 0.004254450 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 0.24861777 -0.13168198 -0.05711450 -0.19363009 0.02680847 + expected$covM1$Item7[1, ] 0.24861774 -0.13168198 -0.05711449 -0.19363008 0.02680848 - actual$covM1$Item7[2, ] -0.13168198 0.19903352 0.07840870 0.20584411 -0.06988717 + expected$covM1$Item7[2, ] -0.13168198 0.19903351 0.07840870 0.20584410 -0.06988717 - actual$covM1$Item7[3, ] -0.05711450 0.07840870 0.04047383 0.08202830 -0.02784201 + expected$covM1$Item7[3, ] -0.05711449 0.07840870 0.04047383 0.08202830 -0.02784201 - actual$covM1$Item7[4, ] -0.19363009 0.20584411 0.08202830 0.23553052 -0.06625726 + expected$covM1$Item7[4, ] -0.19363008 0.20584410 0.08202830 0.23553051 -0.06625726 - actual$covM1$Item7[5, ] 0.02680847 -0.06988717 -0.02784201 -0.06625726 0.02765753 + expected$covM1$Item7[5, ] 0.02680848 -0.06988717 -0.02784201 -0.06625726 0.02765753 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item8[1, ] 0.127980224 -0.01853840 -0.007895556 -0.030616899 -0.013483788 + expected$covM1$Item8[1, ] 0.127980042 -0.01853835 -0.007895529 -0.030616822 -0.013483787 - actual$covM1$Item8[2, ] -0.018538398 0.20175700 0.011072014 0.083461529 -0.069883402 + expected$covM1$Item8[2, ] -0.018538353 0.20175685 0.011071960 0.083461376 -0.069883326 - actual$covM1$Item8[3, ] -0.007895556 0.01107201 0.014405602 0.004651151 -0.003904769 + expected$covM1$Item8[3, ] -0.007895529 0.01107196 0.014405599 0.004651120 -0.003904753 - actual$covM1$Item8[4, ] -0.030616899 0.08346153 0.004651151 0.039791945 -0.025890385 + expected$covM1$Item8[4, ] -0.030616822 0.08346138 0.004651120 0.039791830 -0.025890328 - actual$covM1$Item8[5, ] -0.013483788 -0.06988340 -0.003904769 -0.025890385 0.028286602 + expected$covM1$Item8[5, ] -0.013483787 -0.06988333 -0.003904753 -0.025890328 0.028286566 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 0.224918921 -0.07447685 -0.008330165 -0.11316741 0.002628247 + expected$covM1$Item9[1, ] 0.224918530 -0.07447642 -0.008330201 -0.11316683 0.002628051 - actual$covM1$Item9[2, ] -0.074476847 0.28473880 0.013489919 0.22727230 -0.146796537 + expected$covM1$Item9[2, ] -0.074476424 0.28473831 0.013490030 0.22727146 -0.146796259 - actual$covM1$Item9[3, ] -0.008330165 0.01348992 0.010208083 0.01085350 -0.007013488 + expected$covM1$Item9[3, ] -0.008330201 0.01349003 0.010208100 0.01085357 -0.007013541 - actual$covM1$Item9[4, ] -0.113167413 0.22727230 0.010853503 0.19738311 -0.108918602 + expected$covM1$Item9[4, ] -0.113166827 0.22727146 0.010853575 0.19738202 -0.108918167 - actual$covM1$Item9[5, ] 0.002628247 -0.14679654 -0.007013488 -0.10891860 0.083154295 + expected$covM1$Item9[5, ] 0.002628051 -0.14679626 -0.007013541 -0.10891817 0.083154135 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.113331161 -0.002995872 -0.008519888 -0.014343800 -0.021811108 + expected$covM1$Item12[1, ] 0.113331165 -0.002995871 -0.008519885 -0.014343801 -0.021811109 - actual$covM1$Item12[2, ] -0.002995872 0.189458728 0.020012934 0.046964457 -0.076096847 + expected$covM1$Item12[2, ] -0.002995871 0.189458743 0.020012948 0.046964462 -0.076096856 - actual$covM1$Item12[3, ] -0.008519888 0.020012934 0.018704785 0.005060958 -0.008230797 + expected$covM1$Item12[3, ] -0.008519885 0.020012948 0.018704794 0.005060961 -0.008230804 - actual$covM1$Item12[4, ] -0.014343800 0.046964457 0.005060958 0.013966660 -0.016618142 + expected$covM1$Item12[4, ] -0.014343801 0.046964462 0.005060961 0.013966661 -0.016618144 - actual$covM1$Item12[5, ] -0.021811108 -0.076096847 -0.008230797 -0.016618142 0.036582475 + expected$covM1$Item12[5, ] -0.021811109 -0.076096856 -0.008230804 -0.016618144 0.036582479 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.054482636 -0.002616064 -0.0059813192 -0.0073820474 -0.0118201506 + expected$covM1$Item16[1, ] 0.054482631 -0.002616035 -0.0059813191 -0.0073820407 -0.0118201626 - actual$covM1$Item16[2, ] -0.002616064 0.100876639 0.0014047195 0.0222772297 -0.0397191121 + expected$covM1$Item16[2, ] -0.002616035 0.100876651 0.0014046713 0.0222772350 -0.0397191188 - actual$covM1$Item16[3, ] -0.005981319 0.001404719 0.0119201083 0.0003188272 -0.0005713070 + expected$covM1$Item16[3, ] -0.005981319 0.001404671 0.0119201223 0.0003188151 -0.0005712869 - actual$covM1$Item16[4, ] -0.007382047 0.022277230 0.0003188272 0.0062835803 -0.0075099387 + expected$covM1$Item16[4, ] -0.007382041 0.022277235 0.0003188151 0.0062835822 -0.0075099410 - actual$covM1$Item16[5, ] -0.011820151 -0.039719112 -0.0005713070 -0.0075099387 0.0197687419 + expected$covM1$Item16[5, ] -0.011820163 -0.039719119 -0.0005712869 -0.0075099410 0.0197687456 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.055526598 -0.005107745 -0.005777831 -0.008518791 -0.012020502 + expected$covM1$Item18[1, ] 0.055526581 -0.005107706 -0.005777826 -0.008518781 -0.012020516 - actual$covM1$Item18[2, ] -0.005107745 0.097106546 0.012484482 0.024001296 -0.045575976 + expected$covM1$Item18[2, ] -0.005107706 0.097106516 0.012484487 0.024001287 -0.045575976 - actual$covM1$Item18[3, ] -0.005777831 0.012484482 0.011950245 0.003163198 -0.006030887 + expected$covM1$Item18[3, ] -0.005777826 0.012484487 0.011950246 0.003163199 -0.006030892 - actual$covM1$Item18[4, ] -0.008518791 0.024001296 0.003163198 0.007396651 -0.009759212 + expected$covM1$Item18[4, ] -0.008518781 0.024001287 0.003163199 0.007396648 -0.009759212 - actual$covM1$Item18[5, ] -0.012020502 -0.045575976 -0.006030887 -0.009759212 0.026382119 + expected$covM1$Item18[5, ] -0.012020516 -0.045575976 -0.006030892 -0.009759212 0.026382125 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.078027926 -0.01036264 -0.006297070 -0.018930362 -0.012313163 + expected$covM1$Item19[1, ] 0.078027865 -0.01036266 -0.006297082 -0.018930344 -0.012313140 - actual$covM1$Item19[2, ] -0.010362636 0.12480409 0.020498902 0.052043046 -0.059447447 + expected$covM1$Item19[2, ] -0.010362665 0.12480452 0.020498987 0.052043164 -0.059447623 - actual$covM1$Item19[3, ] -0.006297070 0.02049890 0.012698783 0.008692298 -0.009960841 + expected$covM1$Item19[3, ] -0.006297082 0.02049899 0.012698805 0.008692324 -0.009960876 - actual$covM1$Item19[4, ] -0.018930362 0.05204305 0.008692298 0.025333645 -0.022091699 + expected$covM1$Item19[4, ] -0.018930344 0.05204316 0.008692324 0.025333659 -0.022091746 - actual$covM1$Item19[5, ] -0.012313163 -0.05944745 -0.009960841 -0.022091699 0.033300060 + expected$covM1$Item19[5, ] -0.012313140 -0.05944762 -0.009960876 -0.022091746 0.033300125 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.085480397 -0.001719418 -0.010946770 -0.005364424 -0.022613298 + expected$covM1$Item20[1, ] 0.085480392 -0.001719420 -0.010946766 -0.005364424 -0.022613297 - actual$covM1$Item20[2, ] -0.001719418 0.155869320 -0.023641346 0.016042893 -0.066798603 + expected$covM1$Item20[2, ] -0.001719420 0.155869330 -0.023641348 0.016042894 -0.066798608 - actual$covM1$Item20[3, ] -0.010946770 -0.023641346 0.026229596 -0.002529073 0.010504071 + expected$covM1$Item20[3, ] -0.010946766 -0.023641348 0.026229599 -0.002529074 0.010504071 - actual$covM1$Item20[4, ] -0.005364424 0.016042893 -0.002529073 0.002297059 -0.005781457 + expected$covM1$Item20[4, ] -0.005364424 0.016042894 -0.002529074 0.002297059 -0.005781457 - actual$covM1$Item20[5, ] -0.022613298 -0.066798603 0.010504071 -0.005781457 0.036901454 + expected$covM1$Item20[5, ] -0.022613297 -0.066798608 0.010504071 -0.005781457 0.036901456 ── Failure ('test-difNLR.R:118:3'): difNLR - examples at help page ───────────── Expected `fit9` to equal `fit9_expected`. Differences: `actual$nlrPAR[[7]]`: 0.552188439 0.689291692 0.272423602 0.000000000 `expected$nlrPAR[[7]]`: 0.552188451 0.689291690 0.272423576 0.000000000 `actual$nlrPAR[[10]]`: 0.281290398 0.611640553 0.092852151 0.000000000 `expected$nlrPAR[[10]]`: 0.281290404 0.611640549 0.092852128 0.000000000 `actual$nlrSE[[7]]`: 0.067721747 0.056696510 0.096835714 0.000000000 `expected$nlrSE[[7]]`: 0.067721748 0.056696509 0.096835717 0.000000000 `actual$nlrSE[[10]]`: 0.066083583 0.053634794 0.093527262 0.000000000 `expected$nlrSE[[10]]`: 0.066083583 0.053634793 0.093527266 0.000000000 `actual$parM0$Item7`: 0.552188439 0.689291692 0.272423602 `expected$parM0$Item7`: 0.552188451 0.689291690 0.272423576 `actual$parM0$Item10`: 0.281290398 0.611640553 0.092852151 `expected$parM0$Item10`: 0.281290404 0.611640549 0.092852128 `actual$seM0$Item7`: 0.067721747 0.056696510 0.096835714 `expected$seM0$Item7`: 0.067721748 0.056696509 0.096835717 `actual$seM0$Item10`: 0.066083583 0.053634794 0.093527262 `expected$seM0$Item10`: 0.066083583 0.053634793 0.093527266 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] - actual$covM0$Item7[1, ] 0.0045862351 0.0007942599 -0.0042944437 + expected$covM0$Item7[1, ] 0.0045862352 0.0007942599 -0.0042944438 - actual$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866655 + expected$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866656 - actual$covM0$Item7[3, ] -0.0042944437 0.0003866655 0.0093771555 + expected$covM0$Item7[3, ] -0.0042944438 0.0003866656 0.0093771560 actual$covM0$Item10 vs expected$covM0$Item10 [,1] [,2] [,3] - actual$covM0$Item10[1, ] 0.0043670400 0.0003455708 -0.0043116925 + expected$covM0$Item10[1, ] 0.0043670400 0.0003455710 -0.0043116927 - actual$covM0$Item10[2, ] 0.0003455708 0.0028766911 0.0001151672 + expected$covM0$Item10[2, ] 0.0003455710 0.0028766910 0.0001151668 - actual$covM0$Item10[3, ] -0.0043116925 0.0001151672 0.0087473487 + expected$covM0$Item10[3, ] -0.0043116927 0.0001151668 0.0087473494 `actual$parM1$Item1`: 0.555393692 0.995464991 -0.865126851 -0.152420868 `expected$parM1$Item1`: 0.555393699 0.995465005 -0.865126856 -0.152420890 `actual$parM1$Item7`: 0.559439988 0.719833883 0.252572198 -0.063833226 `expected$parM1$Item7`: 0.559439989 0.719833875 0.252572202 -0.063833206 `actual$seM1$Item1`: 0.074604012 0.094516054 0.100535023 0.126653526 `expected$seM1$Item1`: 0.074604014 0.094516056 0.100535024 0.126653528 `actual$seM1$Item7`: 0.069709755 0.079613910 0.102734359 0.113448595 `expected$seM1$Item7`: 0.069709754 0.079613908 0.102734368 0.113448579 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] actual$covM1$Item1[1, ] 0.005565759 0.002338469 -0.005565759 -0.002338469 - actual$covM1$Item1[2, ] 0.002338469 0.008933284 -0.002338469 -0.008933284 + expected$covM1$Item1[2, ] 0.002338469 0.008933285 -0.002338469 -0.008933285 - actual$covM1$Item1[3, ] -0.005565759 -0.002338469 0.010107291 0.001271138 + expected$covM1$Item1[3, ] -0.005565759 -0.002338469 0.010107291 0.001271137 - actual$covM1$Item1[4, ] -0.002338469 -0.008933284 0.001271138 0.016041116 + expected$covM1$Item1[4, ] -0.002338469 -0.008933285 0.001271137 0.016041116 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] actual$covM1$Item7[1, ] 0.004859450 0.001607575 -0.004859450 -0.001607575 - actual$covM1$Item7[2, ] 0.001607575 0.006338375 -0.001607574 -0.006338375 + expected$covM1$Item7[2, ] 0.001607575 0.006338374 -0.001607575 -0.006338374 - actual$covM1$Item7[3, ] -0.004859450 -0.001607574 0.010554349 0.003928016 + expected$covM1$Item7[3, ] -0.004859450 -0.001607575 0.010554350 0.003928018 - actual$covM1$Item7[4, ] -0.001607575 -0.006338375 0.003928016 0.012870584 + expected$covM1$Item7[4, ] -0.001607575 -0.006338374 0.003928018 0.012870580 ── Failure ('test-difNLR.R:125:3'): difNLR - examples at help page ───────────── Expected `fit10` to equal `fit10_expected`. Differences: actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] 0.352215454 - 0.352215398 [1] [2] 1.162842181 - 1.162842153 [2] [3] -1.154791212 - -1.154791138 [3] [4] 0.134319300 - 0.134319297 [4] [5] 0.978822642 - 0.978822657 [5] [6] 0.021177358 - 0.021177343 [6] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.051677451 - 0.051677078 [4] [5] 0.997704129 - 0.997704122 [5] [6] 0.002295871 - 0.002295878 [6] actual$nlrPAR[[19]] | expected$nlrPAR[[19]] [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.244158662 - 0.244158657 [1] [2] 0.291674011 - 0.291674027 [2] [3] 0.341276352 - 0.341276339 [3] [4] 0.067339932 - 0.067339936 [4] [5] 0.083503178 - 0.083503183 [5] [6] 0.105691296 | 0.105691296 [6] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.477252118 - 0.477252149 [4] [5] 0.143832805 - 0.143832803 [5] [6] 0.030632741 | 0.030632741 [6] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.433897776 - 0.433898621 [4] [5] 0.286004872 - 0.286005089 [5] [6] 0.036888569 - 0.036888559 [6] actual$nlrSE[[19]] | expected$nlrSE[[19]] [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$parM0$Item9 | expected$parM0$Item9 [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.051677451 - 0.051677078 [3] [4] 0.997704129 - 0.997704122 [4] [5] 0.002295871 - 0.002295878 [5] actual$seM0$Item7 | expected$seM0$Item7 [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.477252118 - 0.477252149 [3] [4] 0.143832805 - 0.143832803 [4] [5] 0.030632741 | 0.030632741 [5] actual$seM0$Item9 | expected$seM0$Item9 [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.433897776 - 0.433898621 [3] [4] 0.286004872 - 0.286005089 [4] [5] 0.036888569 - 0.036888559 [5] actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item7[1, ] 0.212362808 -0.094143900 -0.156584884 0.0119019143 -0.0037323225 + expected$covM0$Item7[1, ] 0.212362860 -0.094143928 -0.156584925 0.0119019169 -0.0037323230 - actual$covM0$Item7[2, ] -0.094143900 0.198520630 0.200777938 -0.0601200805 0.0016901313 + expected$covM0$Item7[2, ] -0.094143928 0.198520639 0.200777955 -0.0601200800 0.0016901308 - actual$covM0$Item7[3, ] -0.156584884 0.200777938 0.227769584 -0.0556754197 0.0027817835 + expected$covM0$Item7[3, ] -0.156584925 0.200777955 0.227769613 -0.0556754204 0.0027817831 - actual$covM0$Item7[4, ] 0.011901914 -0.060120080 -0.055675420 0.0206878757 -0.0006579880 + expected$covM0$Item7[4, ] 0.011901917 -0.060120080 -0.055675420 0.0206878753 -0.0006579877 - actual$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579880 0.0009383648 + expected$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579877 0.0009383648 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item9[1, ] 0.2160098974 -6.476477e-02 -1.030129e-01 -0.0022779940 -1.760865e-04 + expected$covM0$Item9[1, ] 0.2160100606 -6.476500e-02 -1.030133e-01 -0.0022778702 -1.760864e-04 - actual$covM0$Item9[2, ] -0.0647647690 2.836012e-01 2.213988e-01 -0.1449467105 1.480259e-05 + expected$covM0$Item9[2, ] -0.0647650005 2.836015e-01 2.213994e-01 -0.1449469175 1.480101e-05 - actual$covM0$Item9[3, ] -0.1030129342 2.213988e-01 1.882673e-01 -0.1051302805 5.657609e-05 + expected$covM0$Item9[3, ] -0.1030132619 2.213994e-01 1.882680e-01 -0.1051305951 5.657496e-05 - actual$covM0$Item9[4, ] -0.0022779940 -1.449467e-01 -1.051303e-01 0.0817987867 -6.575088e-04 + expected$covM0$Item9[4, ] -0.0022778702 -1.449469e-01 -1.051306e-01 0.0817989109 -6.575075e-04 - actual$covM0$Item9[5, ] -0.0001760865 1.480259e-05 5.657609e-05 -0.0006575088 1.360767e-03 + expected$covM0$Item9[5, ] -0.0001760864 1.480101e-05 5.657496e-05 -0.0006575075 1.360766e-03 actual$parM1$Item1 | expected$parM1$Item1 [1] 0.352215454 - 0.352215398 [1] [2] 1.162842181 - 1.162842153 [2] [3] -1.154791212 - -1.154791138 [3] [4] 0.134319300 - 0.134319297 [4] [5] 0.978822642 - 0.978822657 [5] [6] 0.021177358 - 0.021177343 [6] actual$parM1$Item7 | expected$parM1$Item7 [1] 0.557582568 - 0.557582567 [1] [2] 0.712124977 - 0.712124987 [2] [3] 0.376374508 - 0.376374549 [3] [4] 0.000000000 | 0.000000000 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.030721342 - -0.030721351 [6] actual$parM1$Item8 | expected$parM1$Item8 [1] 0.373665964 - 0.373666098 [1] [2] 0.979433086 - 0.979433010 [2] [3] -0.351044400 - -0.351044421 [3] [4] 0.234844420 - 0.234844380 [4] [5] 0.886701304 - 0.886701302 [5] [6] 0.113298696 - 0.113298698 [6] actual$parM1$Item11 | expected$parM1$Item11 [1] 0.821799628 - 0.821799927 [1] [2] 0.892827642 - 0.892827427 [2] [3] -0.017299339 - -0.017299667 [3] [4] 0.035553945 - 0.035553763 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.014779686 - -0.014779605 [6] actual$parM1$Item14 | expected$parM1$Item14 [1] -0.501624851 - -0.501625019 [1] [2] 0.864989151 - 0.864989228 [2] [3] 0.111855727 - 0.111855771 [3] [4] 0.063395655 - 0.063395703 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510654562 - -0.510654210 [1] [2] 1.080508002 - 1.080507944 [2] [3] 0.015599456 - 0.015598920 [3] [4] 0.076472713 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item19 | expected$parM1$Item19 [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.244158662 - 0.244158657 [1] [2] 0.291674011 - 0.291674027 [2] [3] 0.341276352 - 0.341276339 [3] [4] 0.067339932 - 0.067339936 [4] [5] 0.083503178 - 0.083503183 [5] [6] 0.105691296 | 0.105691296 [6] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.515971332 - 0.515971341 [1] [2] 0.434907110 | 0.434907110 [2] [3] 0.303436166 - 0.303436189 [3] [4] 0.456730046 - 0.456730039 [4] [5] 0.168363776 - 0.168363774 [5] [6] 0.079816386 | 0.079816386 [6] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.369078034 - 0.369078012 [1] [2] 0.441531312 - 0.441531342 [2] [3] 0.314818618 - 0.314818594 [3] [4] 0.145956190 - 0.145956228 [4] [5] 0.102592249 - 0.102592261 [5] [6] 0.089117030 - 0.089117032 [6] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.321227742 - 0.321227844 [1] [2] 0.366683936 - 0.366684119 [2] [3] 0.216059242 - 0.216059189 [3] [4] 0.285346569 - 0.285346881 [4] [5] 0.098277328 - 0.098277317 [5] [6] 0.059399889 - 0.059399854 [6] actual$seM1$Item14 | expected$seM1$Item14 [1] 0.344221248 - 0.344221226 [1] [2] 0.379547996 - 0.379547886 [2] [3] 0.307898170 - 0.307898202 [3] [4] 0.127286626 - 0.127286559 [4] [5] 0.244256576 - 0.244256518 [5] [6] 0.137244654 - 0.137244661 [6] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.263698611 - 0.263698513 [1] [2] 0.317694287 - 0.317694305 [2] [3] 0.265001070 - 0.265001108 [3] [4] 0.079289062 - 0.079289074 [4] [5] 0.151292397 - 0.151292374 [5] [6] 0.108903078 - 0.108903021 [6] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.328003094 - 0.328003101 [1] [2] 0.395824164 - 0.395824153 [2] [3] 0.391843491 - 0.391843523 [3] [4] 0.047961151 | 0.047961151 [4] [5] 0.200224027 - 0.200224040 [5] [6] 0.162426278 - 0.162426290 [6] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item1[1, ] 0.059613452 0.033895448 -0.03788850 0.0013905549 -0.0162716515 -0.0012268023 + expected$covM1$Item1[1, ] 0.059613450 0.033895451 -0.03788849 0.0013905550 -0.0162716520 -0.0012268058 - actual$covM1$Item1[2, ] 0.033895448 0.085073729 -0.05659170 0.0163633049 -0.0200493409 -0.0092486948 + expected$covM1$Item1[2, ] 0.033895451 0.085073738 -0.05659170 0.0163633066 -0.0200493442 -0.0092486969 - actual$covM1$Item1[3, ] -0.037888499 -0.056591699 0.11646955 -0.0140781627 0.0185985498 -0.0191014662 + expected$covM1$Item1[3, ] -0.037888488 -0.056591700 0.11646954 -0.0140781639 0.0185985489 -0.0191014640 - actual$covM1$Item1[4, ] 0.001390555 0.016363305 -0.01407816 0.0045346665 -0.0033525860 -0.0007070005 + expected$covM1$Item1[4, ] 0.001390555 0.016363307 -0.01407816 0.0045346669 -0.0033525866 -0.0007070006 - actual$covM1$Item1[5, ] -0.016271652 -0.020049341 0.01859855 -0.0033525860 0.0069727807 0.0005040500 + expected$covM1$Item1[5, ] -0.016271652 -0.020049344 0.01859855 -0.0033525866 0.0069727816 0.0005040511 - actual$covM1$Item1[6, ] -0.001226802 -0.009248695 -0.01910147 -0.0007070005 0.0005040500 0.0111706500 + expected$covM1$Item1[6, ] -0.001226806 -0.009248697 -0.01910146 -0.0007070006 0.0005040511 0.0111706500 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item7[1, ] 0.266226415 -0.113628960 -0.09733677 -0.174640245 0.009870489 0.013157213 + expected$covM1$Item7[1, ] 0.266226425 -0.113628963 -0.09733680 -0.174640246 0.009870488 0.013157219 - actual$covM1$Item7[2, ] -0.113628960 0.189144194 0.07184297 0.187418804 -0.065339144 0.007629050 + expected$covM1$Item7[2, ] -0.113628963 0.189144194 0.07184299 0.187418802 -0.065339143 0.007629049 - actual$covM1$Item7[3, ] -0.097336771 0.071842970 0.09207351 0.080183890 -0.012665938 -0.015228160 + expected$covM1$Item7[3, ] -0.097336804 0.071842985 0.09207352 0.080183911 -0.012665940 -0.015228159 - actual$covM1$Item7[4, ] -0.174640245 0.187418804 0.08018389 0.208602335 -0.057307789 0.004419499 + expected$covM1$Item7[4, ] -0.174640246 0.187418802 0.08018391 0.208602329 -0.057307786 0.004419496 - actual$covM1$Item7[5, ] 0.009870489 -0.065339144 -0.01266594 -0.057307789 0.028346361 -0.007015564 + expected$covM1$Item7[5, ] 0.009870488 -0.065339143 -0.01266594 -0.057307786 0.028346360 -0.007015564 - actual$covM1$Item7[6, ] 0.013157213 0.007629050 -0.01522816 0.004419499 -0.007015564 0.006370656 + expected$covM1$Item7[6, ] 0.013157219 0.007629049 -0.01522816 0.004419496 -0.007015564 0.006370655 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item8[1, ] 0.136218595 -0.001234253 -0.053715358 -0.017823004 -0.0171254833 0.0074588463 + expected$covM1$Item8[1, ] 0.136218579 -0.001234256 -0.053715336 -0.017823007 -0.0171254796 0.0074588406 - actual$covM1$Item8[2, ] -0.001234253 0.194949900 -0.011393082 0.058559684 -0.0377344370 -0.0153598130 + expected$covM1$Item8[2, ] -0.001234256 0.194949926 -0.011393077 0.058559705 -0.0377344472 -0.0153598188 - actual$covM1$Item8[3, ] -0.053715358 -0.011393082 0.099110762 -0.003505089 0.0128447999 -0.0216946963 + expected$covM1$Item8[3, ] -0.053715336 -0.011393077 0.099110747 -0.003505091 0.0128447970 -0.0216946942 - actual$covM1$Item8[4, ] -0.017823004 0.058559684 -0.003505089 0.021303209 -0.0099108824 -0.0039097096 + expected$covM1$Item8[4, ] -0.017823007 0.058559705 -0.003505091 0.021303220 -0.0099108880 -0.0039097113 - actual$covM1$Item8[5, ] -0.017125483 -0.037734437 0.012844800 -0.009910882 0.0105251695 0.0005678518 + expected$covM1$Item8[5, ] -0.017125480 -0.037734447 0.012844797 -0.009910888 0.0105251721 0.0005678539 - actual$covM1$Item8[6, ] 0.007458846 -0.015359813 -0.021694696 -0.003909710 0.0005678518 0.0079418450 + expected$covM1$Item8[6, ] 0.007458841 -0.015359819 -0.021694694 -0.003909711 0.0005678539 0.0079418455 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item11[1, ] 0.103187262 -0.0285811054 -0.019794494 -0.0495141221 -0.005389108 0.0052465669 + expected$covM1$Item11[1, ] 0.103187328 -0.0285812587 -0.019794464 -0.0495142615 -0.005389079 0.0052465622 - actual$covM1$Item11[2, ] -0.028581105 0.1344571089 -0.006164421 0.0971610979 -0.031410636 0.0007173716 + expected$covM1$Item11[2, ] -0.028581259 0.1344572434 -0.006164344 0.0971612630 -0.031410646 0.0007173332 - actual$covM1$Item11[3, ] -0.019794494 -0.0061644206 0.046681596 -0.0051219820 0.006834153 -0.0112628186 + expected$covM1$Item11[3, ] -0.019794464 -0.0061643439 0.046681573 -0.0051219438 0.006834130 -0.0112628070 - actual$covM1$Item11[4, ] -0.049514122 0.0971610979 -0.005121982 0.0814226647 -0.020164479 0.0005750417 + expected$covM1$Item11[4, ] -0.049514262 0.0971612630 -0.005121944 0.0814228427 -0.020164500 0.0005750174 - actual$covM1$Item11[5, ] -0.005389108 -0.0314106362 0.006834153 -0.0201644787 0.009658433 -0.0019029343 + expected$covM1$Item11[5, ] -0.005389079 -0.0314106460 0.006834130 -0.0201644997 0.009658431 -0.0019029235 - actual$covM1$Item11[6, ] 0.005246567 0.0007173716 -0.011262819 0.0005750417 -0.001902934 0.0035283468 + expected$covM1$Item11[6, ] 0.005246562 0.0007173332 -0.011262807 0.0005750174 -0.001902924 0.0035283427 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item14[1, ] 0.118488267 0.005535921 -0.052989676 -0.0113234928 -0.03962850 0.0230421139 + expected$covM1$Item14[1, ] 0.118488253 0.005535929 -0.052989676 -0.0113234873 -0.03962849 0.0230421137 - actual$covM1$Item14[2, ] 0.005535921 0.144056682 0.013477919 0.0445211748 -0.08143136 0.0022770389 + expected$covM1$Item14[2, ] 0.005535929 0.144056598 0.013477926 0.0445211355 -0.08143132 0.0022770391 - actual$covM1$Item14[3, ] -0.052989676 0.013477919 0.094801283 0.0050631157 0.01437575 -0.0391800641 + expected$covM1$Item14[3, ] -0.052989676 0.013477926 0.094801303 0.0050631158 0.01437575 -0.0391800695 - actual$covM1$Item14[4, ] -0.011323493 0.044521175 0.005063116 0.0162018851 -0.02224758 0.0003227620 + expected$covM1$Item14[4, ] -0.011323487 0.044521135 0.005063116 0.0162018680 -0.02224756 0.0003227622 - actual$covM1$Item14[5, ] -0.039628496 -0.081431362 0.014375754 -0.0222475791 0.05966128 -0.0118841684 + expected$covM1$Item14[5, ] -0.039628494 -0.081431316 0.014375751 -0.0222475584 0.05966125 -0.0118841686 - actual$covM1$Item14[6, ] 0.023042114 0.002277039 -0.039180064 0.0003227620 -0.01188417 0.0188360951 + expected$covM1$Item14[6, ] 0.023042114 0.002277039 -0.039180069 0.0003227622 -0.01188417 0.0188360969 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item16[1, ] 0.069536957 -0.0024262552 -0.0355827337 -7.366823e-03 -0.018663109 1.334985e-02 + expected$covM1$Item16[1, ] 0.069536906 -0.0024262422 -0.0355826899 -7.366816e-03 -0.018663099 1.334982e-02 - actual$covM1$Item16[2, ] -0.002426255 0.1009296598 0.0010289775 2.228864e-02 -0.039825988 1.697896e-04 + expected$covM1$Item16[2, ] -0.002426242 0.1009296716 0.0010289591 2.228865e-02 -0.039825988 1.697760e-04 - actual$covM1$Item16[3, ] -0.035582734 0.0010289775 0.0702255669 2.817081e-04 0.012895186 -2.629496e-02 + expected$covM1$Item16[3, ] -0.035582690 0.0010289591 0.0702255872 2.816958e-04 0.012895183 -2.629495e-02 - actual$covM1$Item16[4, ] -0.007366823 0.0222886425 0.0002817081 6.286755e-03 -0.007522316 1.681403e-05 + expected$covM1$Item16[4, ] -0.007366816 0.0222886478 0.0002816958 6.286757e-03 -0.007522319 1.681412e-05 - actual$covM1$Item16[5, ] -0.018663109 -0.0398259879 0.0128951856 -7.522316e-03 0.022889389 -6.073955e-03 + expected$covM1$Item16[5, ] -0.018663099 -0.0398259876 0.0128951835 -7.522319e-03 0.022889382 -6.073941e-03 - actual$covM1$Item16[6, ] 0.013349846 0.0001697896 -0.0262949589 1.681403e-05 -0.006073955 1.185988e-02 + expected$covM1$Item16[6, ] 0.013349819 0.0001697760 -0.0262949466 1.681412e-05 -0.006073941 1.185987e-02 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item19[1, ] 0.08600475 -0.01146327 -0.041554943 -0.014395520 -0.017346107 0.015376747 + expected$covM1$Item19[1, ] 0.08600476 -0.01146328 -0.041554942 -0.014395521 -0.017346103 0.015376744 - actual$covM1$Item19[2, ] -0.01146327 0.11937672 0.025664932 0.034086337 -0.045215648 0.015560388 + expected$covM1$Item19[2, ] -0.01146328 0.11937670 0.025664916 0.034086320 -0.045215632 0.015560386 - actual$covM1$Item19[3, ] -0.04155494 0.02566493 0.076845737 0.008457500 0.003751187 -0.018726966 + expected$covM1$Item19[3, ] -0.04155494 0.02566492 0.076845735 0.008457492 0.003751194 -0.018726967 - actual$covM1$Item19[4, ] -0.01439552 0.03408634 0.008457500 0.012158940 -0.010916097 0.003499175 + expected$covM1$Item19[4, ] -0.01439552 0.03408632 0.008457492 0.012158931 -0.010916088 0.003499173 - actual$covM1$Item19[5, ] -0.01734611 -0.04521565 0.003751187 -0.010916097 0.024341224 -0.012245019 + expected$covM1$Item19[5, ] -0.01734610 -0.04521563 0.003751194 -0.010916088 0.024341214 -0.012245016 - actual$covM1$Item19[6, ] 0.01537675 0.01556039 -0.018726966 0.003499175 -0.012245019 0.010829280 + expected$covM1$Item19[6, ] 0.01537674 0.01556039 -0.018726967 0.003499173 -0.012245016 0.010829279 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item20[1, ] 0.107586029 -0.005731491 -0.063948026 -0.0055782962 -0.030987219 0.0241259997 + expected$covM1$Item20[1, ] 0.107586034 -0.005731479 -0.063948041 -0.0055782951 -0.030987227 0.0241260057 - actual$covM1$Item20[2, ] -0.005731491 0.156676769 -0.014016515 0.0160894907 -0.065311708 -0.0043872291 + expected$covM1$Item20[2, ] -0.005731479 0.156676760 -0.014016535 0.0160894902 -0.065311711 -0.0043872209 - actual$covM1$Item20[3, ] -0.063948026 -0.014016515 0.153541322 -0.0020230453 0.030595952 -0.0579519575 + expected$covM1$Item20[3, ] -0.063948041 -0.014016535 0.153541347 -0.0020230463 0.030595966 -0.0579519675 - actual$covM1$Item20[4, ] -0.005578296 0.016089491 -0.002023045 0.0023002720 -0.005704386 -0.0002309754 + expected$covM1$Item20[4, ] -0.005578295 0.016089490 -0.002023046 0.0023002720 -0.005704386 -0.0002309750 - actual$covM1$Item20[5, ] -0.030987219 -0.065311708 0.030595952 -0.0057043856 0.040089661 -0.0091442091 + expected$covM1$Item20[5, ] -0.030987227 -0.065311711 0.030595966 -0.0057043860 0.040089666 -0.0091442146 - actual$covM1$Item20[6, ] 0.024126000 -0.004387229 -0.057951957 -0.0002309754 -0.009144209 0.0263822957 + expected$covM1$Item20[6, ] 0.024126006 -0.004387221 -0.057951967 -0.0002309750 -0.009144215 0.0263822996 ── Failure ('test-difNLR.R:134:3'): difNLR - examples at help page ───────────── Expected `fit11` to equal `fit11_expected`. Differences: actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.25126912 -0.089346410 -0.0221235270 0.0232188363 -0.105533787 + expected$covM1$Item13[1, ] 0.25126913 -0.089346412 -0.0221235275 0.0232188371 -0.105533790 - actual$covM1$Item13[2, ] -0.08934641 0.043589127 0.0046938528 -0.0191598192 0.038987025 + expected$covM1$Item13[2, ] -0.08934641 0.043589128 0.0046938531 -0.0191598194 0.038987026 - actual$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188728 + expected$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188729 actual$covM1$Item13[4, ] 0.02321884 -0.019159819 0.0007736615 0.0235615332 -0.010317708 - actual$covM1$Item13[5, ] -0.10553379 0.038987025 0.0061887284 -0.0103177077 0.045753707 + expected$covM1$Item13[5, ] -0.10553379 0.038987026 0.0061887286 -0.0103177080 0.045753708 ── Failure ('test-difNLR.R:142:3'): difNLR - examples at help page ───────────── Expected `fit13` to equal `fit13_expected`. Differences: actual$seM1$Item5 | expected$seM1$Item5 [1] 1.322534201 - 1.322534498 [1] [2] 0.431582728 - 0.431582819 [2] [3] 0.140846431 | 0.140846431 [3] [4] 0.140395643 | 0.140395643 [4] [5] 1.074186699 - 1.074186941 [5] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.730251348 - 0.730251282 [1] [2] 0.206478511 - 0.206478465 [2] [3] 0.098993891 - 0.098993872 [3] [4] 0.148676710 - 0.148676713 [4] [5] 0.424514653 - 0.424514567 [5] `actual$seM1$Item9`: 0.55250211 0.18526841 0.09561754 0.10360347 0.29564975 `expected$seM1$Item9`: 0.55246653 0.18525882 0.09561658 0.10360309 0.29563246 actual$seM1$Item11 | expected$seM1$Item11 [1] 0.325599004 - 0.325598987 [1] [2] 0.143642509 - 0.143642500 [2] [3] 0.106457440 | 0.106457440 [3] [4] 0.116418337 | 0.116418337 [4] [5] 0.203939037 - 0.203939025 [5] actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 1.74909671 -0.548378108 -0.012562796 0.017270675 -1.416467759 + expected$covM1$Item5[1, ] 1.74909750 -0.548378357 -0.012562800 0.017270684 -1.416468398 - actual$covM1$Item5[2, ] -0.54837811 0.186263651 -0.004388997 -0.017203484 0.450884818 + expected$covM1$Item5[2, ] -0.54837836 0.186263730 -0.004388995 -0.017203487 0.450885020 - actual$covM1$Item5[3, ] -0.01256280 -0.004388997 0.019837717 0.009468767 0.001859731 + expected$covM1$Item5[3, ] -0.01256280 -0.004388995 0.019837717 0.009468767 0.001859734 - actual$covM1$Item5[4, ] 0.01727068 -0.017203484 0.009468767 0.019710937 -0.018236294 + expected$covM1$Item5[4, ] 0.01727068 -0.017203487 0.009468767 0.019710937 -0.018236302 - actual$covM1$Item5[5, ] -1.41646776 0.450884818 0.001859731 -0.018236294 1.153877065 + expected$covM1$Item5[5, ] -1.41646840 0.450885020 0.001859734 -0.018236302 1.153877585 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item8[1, ] 0.533267032 -0.140070238 0.0032524017 -0.0759137666 -0.308653218 + expected$covM1$Item8[1, ] 0.533266935 -0.140070190 0.0032522779 -0.0759137634 -0.308653128 - actual$covM1$Item8[2, ] -0.140070238 0.042633375 -0.0026951353 0.0148389829 0.082131213 + expected$covM1$Item8[2, ] -0.140070190 0.042633357 -0.0026951021 0.0148389789 0.082131176 - actual$covM1$Item8[3, ] 0.003252402 -0.002695135 0.0097997904 0.0004640690 -0.004603230 + expected$covM1$Item8[3, ] 0.003252278 -0.002695102 0.0097997867 0.0004640864 -0.004603157 - actual$covM1$Item8[4, ] -0.075913767 0.014838983 0.0004640690 0.0221047640 0.043974903 + expected$covM1$Item8[4, ] -0.075913763 0.014838979 0.0004640864 0.0221047650 0.043974896 - actual$covM1$Item8[5, ] -0.308653218 0.082131213 -0.0046032297 0.0439749031 0.180212690 + expected$covM1$Item8[5, ] -0.308653128 0.082131176 -0.0046031569 0.0439748964 0.180212618 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 0.30525858 -0.093032991 -0.0109444470 0.0103571724 -0.162131078 + expected$covM1$Item9[1, ] 0.30521926 -0.093021165 -0.0109397238 0.0103553681 -0.162110996 - actual$covM1$Item9[2, ] -0.09303299 0.034324385 0.0015497219 -0.0086258092 0.050396087 + expected$covM1$Item9[2, ] -0.09302117 0.034320832 0.0015482627 -0.0086252624 0.050390059 - actual$covM1$Item9[3, ] -0.01094445 0.001549722 0.0091427141 0.0006446767 0.003459223 + expected$covM1$Item9[3, ] -0.01093972 0.001548263 0.0091425304 0.0006448540 0.003456701 - actual$covM1$Item9[4, ] 0.01035717 -0.008625809 0.0006446767 0.0107336796 -0.005823558 + expected$covM1$Item9[4, ] 0.01035537 -0.008625262 0.0006448540 0.0107336005 -0.005822626 - actual$covM1$Item9[5, ] -0.16213108 0.050396087 0.0034592235 -0.0058235584 0.087408777 + expected$covM1$Item9[5, ] -0.16211100 0.050390059 0.0034567009 -0.0058226256 0.087398553 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item11[1, ] 0.106014712 -0.035099245 -0.004175992 -0.004813213 -0.064548340 + expected$covM1$Item11[1, ] 0.106014700 -0.035099239 -0.004175992 -0.004813214 -0.064548332 - actual$covM1$Item11[2, ] -0.035099245 0.020633170 -0.002436880 -0.005922076 0.023791486 + expected$covM1$Item11[2, ] -0.035099239 0.020633168 -0.002436879 -0.005922076 0.023791483 - actual$covM1$Item11[3, ] -0.004175992 -0.002436880 0.011333186 0.003230759 -0.001070505 + expected$covM1$Item11[3, ] -0.004175992 -0.002436879 0.011333186 0.003230759 -0.001070505 - actual$covM1$Item11[4, ] -0.004813213 -0.005922076 0.003230759 0.013553229 0.001925740 + expected$covM1$Item11[4, ] -0.004813214 -0.005922076 0.003230759 0.013553229 0.001925740 - actual$covM1$Item11[5, ] -0.064548340 0.023791486 -0.001070505 0.001925740 0.041591131 + expected$covM1$Item11[5, ] -0.064548332 0.023791483 -0.001070505 0.001925740 0.041591126 ── Failure ('test-difNLR.R:377:3'): testing paper code - R Journal 2020 - generated data ── Expected `fit1` to equal `fit1_expected`. Differences: actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] -1.919268840 - -1.919268809 [1] [2] 1.483505545 - 1.483505528 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.048786386 - 0.048786382 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.49475938 - 0.49475871 [1] [2] 0.87505639 - 0.87505601 [2] [3] -0.26048375 - -0.26048229 [3] [4] 0.20497607 - 0.20497701 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.94485732 - 0.94485751 [7] [8] -0.14246026 - -0.14246067 [8] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.306678421 - 0.306678419 [1] [2] 0.384450300 - 0.384450339 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.036074443 - 0.036074445 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.187373494 - 0.187373509 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.728175092 - 0.728175304 [1] [2] 0.848810046 - 0.848810111 [2] [3] 0.908598676 - 0.908598925 [3] [4] 1.146434153 - 1.146434270 [4] [5] 0.608242074 - 0.608242329 [5] [6] 0.669353204 - 0.669353421 [6] [7] 0.247191318 - 0.247191623 [7] [8] 0.304365128 - 0.304365254 [8] `actual$parM0$Item1`: -1.919268840 1.483505545 0.048786386 1.000000000 `expected$parM0$Item1`: -1.919268809 1.483505528 0.048786382 1.000000000 `actual$seM0$Item1`: 0.306678421 0.384450300 0.036074443 0.187373494 `expected$seM0$Item1`: 0.306678419 0.384450339 0.036074445 0.187373509 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] [,4] - actual$covM0$Item1[1, ] 0.0940516537 -0.06062457 -0.008213436 0.0005695563 + expected$covM0$Item1[1, ] 0.0940516524 -0.06062458 -0.008213436 0.0005695592 - actual$covM0$Item1[2, ] -0.0606245684 0.14780203 0.011029921 -0.0600486799 + expected$covM0$Item1[2, ] -0.0606245756 0.14780206 0.011029924 -0.0600486926 - actual$covM0$Item1[3, ] -0.0082134355 0.01102992 0.001301365 -0.0036034236 + expected$covM0$Item1[3, ] -0.0082134359 0.01102992 0.001301366 -0.0036034245 - actual$covM0$Item1[4, ] 0.0005695563 -0.06004868 -0.003603424 0.0351088262 + expected$covM0$Item1[4, ] 0.0005695592 -0.06004869 -0.003603425 0.0351088318 actual$parM1$Item14 | expected$parM1$Item14 [1] -1.471012394 - -1.471012289 [1] [2] 0.803250578 - 0.803250529 [2] [3] -0.839079694 - -0.839079901 [3] [4] 0.722644561 - 0.722644675 [4] [5] 0.094230558 - 0.094230542 [5] [6] 0.085507754 - 0.085507776 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.49475938 - 0.49475871 [1] [2] 0.87505639 - 0.87505601 [2] [3] -0.26048375 - -0.26048229 [3] [4] 0.20497607 - 0.20497701 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.94485732 - 0.94485751 [7] [8] -0.14246026 - -0.14246067 [8] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.440195514 - 0.440195511 [1] [2] 0.541812273 - 0.541812298 [2] [3] 0.680132585 - 0.680132551 [3] [4] 0.771896585 - 0.771896611 [4] [5] 0.052217411 - 0.052217412 [5] [6] 0.061351682 | 0.061351682 [6] [7] 0.451801090 - 0.451801105 [7] [8] 0.581465169 - 0.581465199 [8] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.351055523 - 0.351055765 [1] [2] 0.581606548 - 0.581607061 [2] [3] 0.516361714 - 0.516361846 [3] [4] 0.823666984 - 0.823667368 [4] [5] 0.206605973 - 0.206606165 [5] [6] 0.343638938 - 0.343639068 [6] [7] 0.085395167 - 0.085395124 [7] [8] 0.123584937 - 0.123584904 [8] actual$seM1$Item14 | expected$seM1$Item14 [1] 1.135840676 - 1.135840611 [1] [2] 1.064084100 - 1.064083985 [2] [3] 1.315513227 - 1.315513180 [3] [4] 1.305080069 - 1.305079870 [4] [5] 0.190543276 - 0.190543296 [5] [6] 0.196815617 - 0.196815632 [6] [7] 1.344016238 - 1.344016126 [7] [8] 1.388639952 - 1.388639765 [8] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.728175092 - 0.728175304 [1] [2] 0.848810046 - 0.848810111 [2] [3] 0.908598676 - 0.908598925 [3] [4] 1.146434153 - 1.146434270 [4] [5] 0.608242074 - 0.608242329 [5] [6] 0.669353204 - 0.669353421 [6] [7] 0.247191318 - 0.247191623 [7] [8] 0.304365128 - 0.304365254 [8] actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648306 -0.012481388 0.012481388 -0.04274783 0.04274783 + expected$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648307 -0.012481388 0.012481389 -0.04274783 0.04274783 - actual$covM1$Item3[2, ] -0.05648306 0.29356054 0.05648307 -0.29356054 0.024052291 -0.024052292 -0.21619775 0.21619775 + expected$covM1$Item3[2, ] -0.05648306 0.29356057 0.05648305 -0.29356057 0.024052293 -0.024052293 -0.21619777 0.21619777 - actual$covM1$Item3[3, ] -0.19377209 0.05648307 0.46258033 -0.22687774 0.012481389 -0.024789302 0.04274783 -0.02494488 + expected$covM1$Item3[3, ] -0.19377209 0.05648305 0.46258029 -0.22687769 0.012481387 -0.024789299 0.04274784 -0.02494490 - actual$covM1$Item3[4, ] 0.05648306 -0.29356054 -0.22687774 0.59582434 -0.024052292 0.037360618 0.21619775 -0.38386280 + expected$covM1$Item3[4, ] 0.05648307 -0.29356057 -0.22687769 0.59582438 -0.024052293 0.037360619 0.21619777 -0.38386284 actual$covM1$Item3[5, ] -0.01248139 0.02405229 0.01248139 -0.02405229 0.002726658 -0.002726658 -0.01500150 0.01500150 - actual$covM1$Item3[6, ] 0.01248139 -0.02405229 -0.02478930 0.03736062 -0.002726658 0.003764029 0.01500150 -0.02091491 + expected$covM1$Item3[6, ] 0.01248139 -0.02405229 -0.02478930 0.03736062 -0.002726658 0.003764029 0.01500150 -0.02091492 - actual$covM1$Item3[7, ] -0.04274783 -0.21619775 0.04274783 0.21619775 -0.015001496 0.015001497 0.20412422 -0.20412422 + expected$covM1$Item3[7, ] -0.04274783 -0.21619777 0.04274784 0.21619777 -0.015001498 0.015001498 0.20412424 -0.20412424 - actual$covM1$Item3[8, ] 0.04274783 0.21619775 -0.02494488 -0.38386280 0.015001496 -0.020914914 -0.20412422 0.33810174 + expected$covM1$Item3[8, ] 0.04274783 0.21619777 -0.02494490 -0.38386284 0.015001498 -0.020914916 -0.20412424 0.33810178 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 0.614823639 0.2293663 -0.614823638 -0.2293664 0.008075105 -0.008075124 -0.4970702 0.4970703 + expected$covM1$Item7[1, ] 0.614823642 0.2293663 -0.614823640 -0.2293664 0.008075103 -0.008075122 -0.4970702 0.4970702 - actual$covM1$Item7[2, ] 0.229366293 0.6755151 -0.229366295 -0.6755153 0.138826692 -0.138826727 -0.7547800 0.7547802 + expected$covM1$Item7[2, ] 0.229366283 0.6755151 -0.229366285 -0.6755153 0.138826691 -0.138826726 -0.7547800 0.7547801 - actual$covM1$Item7[3, ] -0.614823638 -0.2293663 0.862653820 0.2374453 -0.008075106 -0.011701539 0.4970702 -0.5971977 + expected$covM1$Item7[3, ] -0.614823640 -0.2293663 0.862653823 0.2374453 -0.008075104 -0.011701541 0.4970702 -0.5971977 - actual$covM1$Item7[4, ] -0.229366393 -0.6755153 0.237445350 1.0457479 -0.138826729 0.209479827 0.7547802 -1.0250926 + expected$covM1$Item7[4, ] -0.229366382 -0.6755153 0.237445339 1.0457479 -0.138826728 0.209479826 0.7547802 -1.0250926 - actual$covM1$Item7[5, ] 0.008075105 0.1388267 -0.008075106 -0.1388267 0.032677591 -0.032677598 -0.1403355 0.1403355 + expected$covM1$Item7[5, ] 0.008075103 0.1388267 -0.008075104 -0.1388267 0.032677591 -0.032677598 -0.1403355 0.1403355 - actual$covM1$Item7[6, ] -0.008075124 -0.1388267 -0.011701539 0.2094798 -0.032677598 0.049087804 0.1403356 -0.1855377 + expected$covM1$Item7[6, ] -0.008075122 -0.1388267 -0.011701541 0.2094798 -0.032677598 0.049087804 0.1403356 -0.1855377 - actual$covM1$Item7[7, ] -0.497070165 -0.7547800 0.497070166 0.7547802 -0.140335510 0.140335552 0.9612905 -0.9612907 + expected$covM1$Item7[7, ] -0.497070156 -0.7547800 0.497070157 0.7547802 -0.140335508 0.140335550 0.9612905 -0.9612907 - actual$covM1$Item7[8, ] 0.497070258 0.7547802 -0.597197718 -1.0250926 0.140335539 -0.185537699 -0.9612907 1.2003877 + expected$covM1$Item7[8, ] 0.497070250 0.7547801 -0.597197709 -1.0250926 0.140335537 -0.185537697 -0.9612907 1.2003877 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item10[1, ] 0.123239980 0.004514857 -0.123239997 -0.004514854 -0.03078667 0.03078668 -0.013233328 0.013233328 + expected$covM1$Item10[1, ] 0.123240150 0.004514483 -0.123240156 -0.004514475 -0.03078682 0.03078682 -0.013233311 0.013233312 - actual$covM1$Item10[2, ] 0.004514857 0.338266177 -0.004514783 -0.338266080 0.10337086 -0.10337084 -0.040320605 0.040320587 + expected$covM1$Item10[2, ] 0.004514483 0.338266774 -0.004514401 -0.338266690 0.10337108 -0.10337107 -0.040320596 0.040320576 - actual$covM1$Item10[3, ] -0.123239997 -0.004514783 0.266629420 -0.003080303 0.03078670 -0.07613315 0.013233321 -0.026303372 + expected$covM1$Item10[3, ] -0.123240156 -0.004514401 0.266629556 -0.003080710 0.03078685 -0.07613330 0.013233302 -0.026303354 - actual$covM1$Item10[4, ] -0.004514854 -0.338266080 -0.003080303 0.678427300 -0.10337083 0.24605872 0.040320593 -0.083396058 + expected$covM1$Item10[4, ] -0.004514475 -0.338266690 -0.003080710 0.678427933 -0.10337106 0.24605896 0.040320585 -0.083396045 - actual$covM1$Item10[5, ] -0.030786674 0.103370863 0.030786701 -0.103370833 0.04268603 -0.04268602 -0.010016374 0.010016368 + expected$covM1$Item10[5, ] -0.030786821 0.103371082 0.030786848 -0.103371059 0.04268611 -0.04268610 -0.010016368 0.010016361 - actual$covM1$Item10[6, ] 0.030786679 -0.103370841 -0.076133149 0.246058717 -0.04268602 0.11808772 0.010016371 -0.025064191 + expected$covM1$Item10[6, ] 0.030786824 -0.103371068 -0.076133298 0.246058961 -0.04268610 0.11808781 0.010016366 -0.025064184 - actual$covM1$Item10[7, ] -0.013233328 -0.040320605 0.013233321 0.040320593 -0.01001637 0.01001637 0.007292335 -0.007292332 + expected$covM1$Item10[7, ] -0.013233311 -0.040320596 0.013233302 0.040320585 -0.01001637 0.01001637 0.007292327 -0.007292325 - actual$covM1$Item10[8, ] 0.013233328 0.040320587 -0.026303372 -0.083396058 0.01001637 -0.02506419 -0.007292332 0.015273237 + expected$covM1$Item10[8, ] 0.013233312 0.040320576 -0.026303354 -0.083396045 0.01001636 -0.02506418 -0.007292325 0.015273228 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item14[1, ] 1.29013404 0.5768089 -1.29013406 -0.5768090 0.04202915 -0.04202915 -1.1245255 1.1245256 + expected$covM1$Item14[1, ] 1.29013389 0.5768087 -1.29013390 -0.5768087 0.04202913 -0.04202913 -1.1245253 1.1245253 - actual$covM1$Item14[2, ] 0.57680893 1.1322750 -0.57680896 -1.1322750 0.18988948 -0.18988948 -1.3451776 1.3451777 + expected$covM1$Item14[2, ] 0.57680872 1.1322747 -0.57680876 -1.1322746 0.18988948 -0.18988948 -1.3451774 1.3451773 - actual$covM1$Item14[3, ] -1.29013406 -0.5768090 1.73057505 0.2906895 -0.04202916 0.01751355 1.1245256 -1.1126828 + expected$covM1$Item14[3, ] -1.29013390 -0.5768088 1.73057493 0.2906891 -0.04202914 0.01751352 1.1245253 -1.1126825 - actual$covM1$Item14[4, ] -0.57680897 -1.1322750 0.29068952 1.7032340 -0.18988949 0.21828317 1.3451777 -1.5619911 + expected$covM1$Item14[4, ] -0.57680865 -1.1322746 0.29068913 1.7032335 -0.18988947 0.21828314 1.3451772 -1.5619906 - actual$covM1$Item14[5, ] 0.04202915 0.1898895 -0.04202916 -0.1898895 0.03630674 -0.03630674 -0.2049982 0.2049982 + expected$covM1$Item14[5, ] 0.04202913 0.1898895 -0.04202914 -0.1898895 0.03630675 -0.03630675 -0.2049982 0.2049982 - actual$covM1$Item14[6, ] -0.04202915 -0.1898895 0.01751355 0.2182832 -0.03630674 0.03873639 0.2049982 -0.2135040 + expected$covM1$Item14[6, ] -0.04202913 -0.1898895 0.01751352 0.2182831 -0.03630675 0.03873639 0.2049982 -0.2135040 - actual$covM1$Item14[7, ] -1.12452553 -1.3451776 1.12452558 1.3451777 -0.20499822 0.20499822 1.8063796 -1.8063797 + expected$covM1$Item14[7, ] -1.12452529 -1.3451774 1.12452534 1.3451772 -0.20499822 0.20499821 1.8063793 -1.8063793 - actual$covM1$Item14[8, ] 1.12452556 1.3451777 -1.11268281 -1.5619911 0.20499822 -0.21350402 -1.8063797 1.9283209 + expected$covM1$Item14[8, ] 1.12452525 1.3451773 -1.11268248 -1.5619906 0.20499821 -0.21350400 -1.8063793 1.9283204 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 0.53023897 -0.2644581 -0.530238888 0.2644581 -0.3092353 0.3092353 0.01617559 -0.016175610 + expected$covM1$Item15[1, ] 0.53023927 -0.2644582 -0.530239287 0.2644583 -0.3092356 0.3092356 0.01617564 -0.016175658 - actual$covM1$Item15[2, ] -0.26445808 0.7204785 0.264458013 -0.7204785 0.4833455 -0.4833455 -0.19288761 0.192887623 + expected$covM1$Item15[2, ] -0.26445820 0.7204786 0.264458183 -0.7204786 0.4833458 -0.4833458 -0.19288788 0.192887899 - actual$covM1$Item15[3, ] -0.53023889 0.2644580 0.825551555 -0.3536824 0.3092353 -0.3924074 -0.01617558 -0.002780452 + expected$covM1$Item15[3, ] -0.53023929 0.2644582 0.825552007 -0.3536826 0.3092355 -0.3924076 -0.01617563 -0.002780406 - actual$covM1$Item15[4, ] 0.26445811 -0.7204785 -0.353682443 1.3143113 -0.4833455 0.6797859 0.19288760 -0.313304948 + expected$covM1$Item15[4, ] 0.26445825 -0.7204786 -0.353682554 1.3143115 -0.4833458 0.6797861 0.19288787 -0.313305071 - actual$covM1$Item15[5, ] -0.30923534 0.4833455 0.309235279 -0.4833455 0.3699584 -0.3699584 -0.11567040 0.115670409 + expected$covM1$Item15[5, ] -0.30923555 0.4833458 0.309235547 -0.4833458 0.3699587 -0.3699587 -0.11567060 0.115670621 - actual$covM1$Item15[6, ] 0.30923533 -0.4833455 -0.392407368 0.6797859 -0.3699584 0.4480337 0.11567039 -0.150130266 + expected$covM1$Item15[6, ] 0.30923557 -0.4833458 -0.392407610 0.6797861 -0.3699587 0.4480340 0.11567061 -0.150130417 - actual$covM1$Item15[7, ] 0.01617559 -0.1928876 -0.016175581 0.1928876 -0.1156704 0.1156704 0.06110355 -0.061103549 + expected$covM1$Item15[7, ] 0.01617564 -0.1928879 -0.016175634 0.1928879 -0.1156706 0.1156706 0.06110370 -0.061103703 - actual$covM1$Item15[8, ] -0.01617561 0.1928876 -0.002780452 -0.3133049 0.1156704 -0.1501303 -0.06110355 0.092638131 + expected$covM1$Item15[8, ] -0.01617566 0.1928879 -0.002780406 -0.3133051 0.1156706 -0.1501304 -0.06110370 0.092638208 ── Failure ('test-difNLR.R:627:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fit12b` to equal `fit12b_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.473002929 - -1.473002943 [1] [2] 1.651804345 - 1.651803928 [2] [3] -0.848182294 - -0.848182273 [3] [4] -0.360238142 - -0.360237731 [4] [5] 0.038413515 - 0.038413500 [5] [6] -0.038413515 - -0.038413500 [6] [7] 0.595815199 - 0.595815294 [7] [8] 0.075980853 - 0.075980758 [8] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.808569956 - 0.808569903 [1] [2] 1.178169245 - 1.178169081 [2] [3] 1.279002730 - 1.279002650 [3] [4] 1.615576373 - 1.615576221 [4] [5] 0.073752562 - 0.073752582 [5] [6] 0.098389886 - 0.098389898 [6] [7] 0.239957143 - 0.239957276 [7] [8] 0.629422768 - 0.629422823 [8] `actual$parM0$Item3`: -2.675261061 1.244052278 0.012796029 1.000000000 `expected$parM0$Item3`: -2.675261125 1.244052309 0.012796033 1.000000000 `actual$seM0$Item3`: 0.614646256 0.667965478 0.044831991 0.751300809 `expected$seM0$Item3`: 0.614646232 0.667965449 0.044831989 0.751300770 `actual$seM0$Item11`: 0.563259467 0.797881387 0.586945683 0.068677472 `expected$seM0$Item11`: 0.563259429 0.797881417 0.586945703 0.068677471 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] - actual$covM0$Item3[1, ] 0.37779002 -0.03882075 -0.011412620 -0.16276770 + expected$covM0$Item3[1, ] 0.37778999 -0.03882075 -0.011412619 -0.16276770 - actual$covM0$Item3[2, ] -0.03882075 0.44617788 0.025013290 -0.44524259 + expected$covM0$Item3[2, ] -0.03882075 0.44617784 0.025013287 -0.44524254 - actual$covM0$Item3[3, ] -0.01141262 0.02501329 0.002009907 -0.02115141 + expected$covM0$Item3[3, ] -0.01141262 0.02501329 0.002009907 -0.02115140 - actual$covM0$Item3[4, ] -0.16276770 -0.44524259 -0.021151406 0.56445290 + expected$covM0$Item3[4, ] -0.16276770 -0.44524254 -0.021151403 0.56445285 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] [,4] - actual$covM0$Item11[1, ] 0.31726123 -0.05669515 -0.16785082 -0.011100733 + expected$covM0$Item11[1, ] 0.31726118 -0.05669517 -0.16785082 -0.011100729 - actual$covM0$Item11[2, ] -0.05669515 0.63661471 0.42438104 -0.044653974 + expected$covM0$Item11[2, ] -0.05669517 0.63661475 0.42438108 -0.044653976 - actual$covM0$Item11[3, ] -0.16785082 0.42438104 0.34450524 -0.024960115 + expected$covM0$Item11[3, ] -0.16785082 0.42438108 0.34450526 -0.024960118 - actual$covM0$Item11[4, ] -0.01110073 -0.04465397 -0.02496011 0.004716595 + expected$covM0$Item11[4, ] -0.01110073 -0.04465398 -0.02496012 0.004716595 actual$parM1$Item1 | expected$parM1$Item1 [1] -1.189848991 - -1.189848984 [1] [2] 1.145283434 - 1.145283431 [2] [3] -0.817141498 - -0.817141592 [3] [4] 0.723674493 - 0.723674568 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.062796987 - 0.062796995 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$parM1$Item4 | expected$parM1$Item4 [1] -1.567209923 - -1.567209311 [1] [2] 1.903818995 - 1.903817654 [2] [3] 1.011419581 - 1.011419036 [3] [4] -0.062105562 - -0.062104333 [4] [5] 0.112839514 - 0.112839428 [5] [6] -0.112839514 - -0.112839428 [6] [7] 0.971993138 - 0.971993376 [7] [8] -0.036729069 - -0.036729310 [8] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.473002929 - -1.473002943 [1] [2] 1.651804345 - 1.651803928 [2] [3] -0.848182294 - -0.848182273 [3] [4] -0.360238142 - -0.360237731 [4] [5] 0.038413515 - 0.038413500 [5] [6] -0.038413515 - -0.038413500 [6] [7] 0.595815199 - 0.595815294 [7] [8] 0.075980853 - 0.075980758 [8] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.670888292 - 0.670888296 [1] [2] 0.914399661 - 0.914399690 [2] [3] 0.919702014 - 0.919702008 [3] [4] 1.205226878 - 1.205226952 [4] [5] 0.162430339 - 0.162430342 [5] [6] 0.173488584 - 0.173488588 [6] [7] 0.587907036 - 0.587907052 [7] [8] 0.631979686 - 0.631979699 [8] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.642819527 - 0.642819304 [1] [2] 0.961230077 - 0.961229614 [2] [3] 0.762108561 - 0.762108396 [3] [4] 1.213841240 - 1.213840174 [4] [5] 0.078494417 - 0.078494480 [5] [6] 0.125287868 - 0.125287890 [6] [7] 0.234655852 - 0.234656108 [7] [8] 0.271485350 - 0.271485545 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.808569956 - 0.808569903 [1] [2] 1.178169245 - 1.178169081 [2] [3] 1.279002730 - 1.279002650 [3] [4] 1.615576373 - 1.615576221 [4] [5] 0.073752562 - 0.073752582 [5] [6] 0.098389886 - 0.098389898 [6] [7] 0.239957143 - 0.239957276 [7] [8] 0.629422768 - 0.629422823 [8] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item1[1, ] 0.45009110 -0.04294095 -0.45009111 0.04294097 -0.04683519 0.04683519 -0.13218541 0.13218540 + expected$covM1$Item1[1, ] 0.45009111 -0.04294095 -0.45009110 0.04294095 -0.04683519 0.04683519 -0.13218541 0.13218541 - actual$covM1$Item1[2, ] -0.04294095 0.83612674 0.04294093 -0.83612674 0.13124319 -0.13124319 -0.48351911 0.48351911 + expected$covM1$Item1[2, ] -0.04294095 0.83612679 0.04294097 -0.83612682 0.13124320 -0.13124320 -0.48351914 0.48351914 - actual$covM1$Item1[3, ] -0.45009111 0.04294093 0.84585180 -0.38087451 0.04683519 -0.07680061 0.13218542 -0.11288995 + expected$covM1$Item1[3, ] -0.45009110 0.04294097 0.84585178 -0.38087457 0.04683519 -0.07680061 0.13218540 -0.11288993 - actual$covM1$Item1[4, ] 0.04294097 -0.83612674 -0.38087451 1.45257183 -0.13124319 0.16413812 0.48351911 -0.62169505 + expected$covM1$Item1[4, ] 0.04294095 -0.83612682 -0.38087457 1.45257200 -0.13124320 0.16413813 0.48351916 -0.62169511 - actual$covM1$Item1[5, ] -0.04683519 0.13124319 0.04683519 -0.13124319 0.02638361 -0.02638361 -0.06496814 0.06496814 + expected$covM1$Item1[5, ] -0.04683519 0.13124320 0.04683519 -0.13124320 0.02638362 -0.02638362 -0.06496814 0.06496814 - actual$covM1$Item1[6, ] 0.04683519 -0.13124319 -0.07680061 0.16413812 -0.02638361 0.03009829 0.06496814 -0.07041179 + expected$covM1$Item1[6, ] 0.04683519 -0.13124320 -0.07680061 0.16413813 -0.02638362 0.03009829 0.06496814 -0.07041180 - actual$covM1$Item1[7, ] -0.13218541 -0.48351911 0.13218542 0.48351911 -0.06496814 0.06496814 0.34563468 -0.34563468 + expected$covM1$Item1[7, ] -0.13218541 -0.48351914 0.13218540 0.48351916 -0.06496814 0.06496814 0.34563470 -0.34563470 - actual$covM1$Item1[8, ] 0.13218540 0.48351911 -0.11288995 -0.62169505 0.06496814 -0.07041179 -0.34563468 0.39939832 + expected$covM1$Item1[8, ] 0.13218541 0.48351914 -0.11288993 -0.62169511 0.06496814 -0.07041180 -0.34563470 0.39939834 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item4[1, ] 0.413216944 -0.35539902 -0.413216941 0.35539899 -0.039550690 0.039550686 0.008273772 -0.008273776 + expected$covM1$Item4[1, ] 0.413216657 -0.35539845 -0.413216667 0.35539821 -0.039550703 0.039550689 0.008273723 -0.008273715 - actual$covM1$Item4[2, ] -0.355399016 0.92396326 0.355398995 -0.92396316 0.056609039 -0.056609025 -0.179534054 0.179534064 + expected$covM1$Item4[2, ] -0.355398450 0.92396237 0.355398486 -0.92396174 0.056609075 -0.056609036 -0.179534198 0.179534178 - actual$covM1$Item4[3, ] -0.413216941 0.35539900 0.580809459 -0.45634154 0.039550690 -0.066430525 -0.008273767 -0.004042090 + expected$covM1$Item4[3, ] -0.413216667 0.35539849 0.580809207 -0.45634078 0.039550705 -0.066430533 -0.008273730 -0.004042139 - actual$covM1$Item4[4, ] 0.355398986 -0.92396316 -0.456341540 1.47341056 -0.056609033 0.111534391 0.179534031 -0.255284750 + expected$covM1$Item4[4, ] 0.355398213 -0.92396174 -0.456340783 1.47340797 -0.056609036 0.111534329 0.179534074 -0.255284706 - actual$covM1$Item4[5, ] -0.039550690 0.05660904 0.039550690 -0.05660903 0.006161374 -0.006161373 -0.008446771 0.008446772 + expected$covM1$Item4[5, ] -0.039550703 0.05660907 0.039550705 -0.05660904 0.006161383 -0.006161381 -0.008446793 0.008446792 - actual$covM1$Item4[6, ] 0.039550686 -0.05660903 -0.066430525 0.11153439 -0.006161373 0.015697050 0.008446769 -0.014274250 + expected$covM1$Item4[6, ] 0.039550689 -0.05660904 -0.066430533 0.11153433 -0.006161381 0.015697055 0.008446786 -0.014274262 - actual$covM1$Item4[7, ] 0.008273772 -0.17953405 -0.008273767 0.17953403 -0.008446771 0.008446769 0.055063369 -0.055063371 + expected$covM1$Item4[7, ] 0.008273723 -0.17953420 -0.008273730 0.17953407 -0.008446793 0.008446786 0.055063489 -0.055063485 - actual$covM1$Item4[8, ] -0.008273776 0.17953406 -0.004042090 -0.25528475 0.008446772 -0.014274250 -0.055063371 0.073704295 + expected$covM1$Item4[8, ] -0.008273715 0.17953418 -0.004042139 -0.25528471 0.008446792 -0.014274262 -0.055063485 0.073704401 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 0.653785373 -0.44925205 -0.653785394 0.44925206 -0.044383938 0.044383939 -0.005709065 0.005709062 + expected$covM1$Item8[1, ] 0.653785288 -0.44925180 -0.653785274 0.44925181 -0.044383941 0.044383942 -0.005709095 0.005709083 - actual$covM1$Item8[2, ] -0.449252053 1.38808277 0.449252097 -1.38808280 0.068811546 -0.068811549 -0.234050242 0.234050264 + expected$covM1$Item8[2, ] -0.449251797 1.38808238 0.449251736 -1.38808240 0.068811560 -0.068811561 -0.234050353 0.234050386 - actual$covM1$Item8[3, ] -0.653785394 0.44925210 1.635847984 -0.89312052 0.044383940 -0.087214992 0.005709058 -0.055455606 + expected$covM1$Item8[3, ] -0.653785274 0.44925174 1.635847779 -0.89312006 0.044383938 -0.087214985 0.005709106 -0.055455691 - actual$covM1$Item8[4, ] 0.449252059 -1.38808280 -0.893120524 2.61008702 -0.068811547 0.126921855 0.234050248 -0.784526730 + expected$covM1$Item8[4, ] 0.449251805 -1.38808240 -0.893120064 2.61008653 -0.068811561 0.126921862 0.234050355 -0.784526835 - actual$covM1$Item8[5, ] -0.044383938 0.06881155 0.044383940 -0.06881155 0.005439440 -0.005439441 -0.009165172 0.009165173 + expected$covM1$Item8[5, ] -0.044383941 0.06881156 0.044383938 -0.06881156 0.005439443 -0.005439443 -0.009165181 0.009165183 - actual$covM1$Item8[6, ] 0.044383939 -0.06881155 -0.087214992 0.12692186 -0.005439441 0.009680570 0.009165173 -0.030676575 + expected$covM1$Item8[6, ] 0.044383942 -0.06881156 -0.087214985 0.12692186 -0.005439443 0.009680572 0.009165181 -0.030676583 - actual$covM1$Item8[7, ] -0.005709065 -0.23405024 0.005709058 0.23405025 -0.009165172 0.009165173 0.057579431 -0.057579435 + expected$covM1$Item8[7, ] -0.005709095 -0.23405035 0.005709106 0.23405035 -0.009165181 0.009165181 0.057579494 -0.057579500 - actual$covM1$Item8[8, ] 0.005709062 0.23405026 -0.055455606 -0.78452673 0.009165173 -0.030676575 -0.057579435 0.396173021 + expected$covM1$Item8[8, ] 0.005709083 0.23405039 -0.055455691 -0.78452683 0.009165183 -0.030676583 -0.057579500 0.396173090 ── Failure ('test-difORD.R:14:3'): difORD - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:49:3'): difORD - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:55:3'): difORD - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: actual$parM1$R28 | expected$parM1$R28 [1] 0.412218785 - 0.412218766 [1] [2] -0.482838864 - -0.482838851 [2] [3] -3.206750000 - -3.206749935 [3] [4] -6.095092281 - -6.095092076 [4] [5] 1.949128977 - 1.949128942 [5] [6] 0.220172658 - 0.220172657 [6] [7] -0.108002478 - -0.108002479 [7] ── Failure ('test-difORD.R:61:3'): difORD - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] ── Failure ('test-difORD.R:67:3'): difORD - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:73:3'): difORD - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: actual$ordPAR$R28 | expected$ordPAR$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] actual$parM0$R20 | expected$parM0$R20 [1] -5.683252711 - -5.683253024 [1] [2] -6.437898816 - -6.437899279 [2] [3] -8.982539929 - -8.982540492 [3] [4] -10.651801297 - -10.651801994 [4] [5] 0.091752686 - 0.091752692 [5] actual$parM0$R28 | expected$parM0$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] ── Failure ('test-estimNLR.R:96:3'): estimNLR - examples at help page ────────── Expected `fit_irls` to equal `fit_irls_expected`. Differences: environment(actual$family$variance)$okLinks[3:6] vs environment(expected$family$variance)$okLinks[3:5] "cloglog" "cauchit" "log" - "identity" [ FAIL 24 | WARN 1 | SKIP 16 | PASS 318 ] Deleting unused snapshots: 'difNLR/plot-fit1-gen.svg', 'difNLR/plot-fit2-gen.svg', and 'difNLR/plot-stat-gen.svg' Error: ! Test failures. Execution halted Package: fitdistrplus Check: tests New result: ERROR Running ‘t-CIcdfplot.R’ [17s/17s] Running ‘t-Surv2fitdistcens.R’ [2s/2s] Running ‘t-bootdist.R’ [7s/7s] Running ‘t-bootdistcens.R’ [3s/3s] Running ‘t-cdfcomp.R’ [4s/4s] Running ‘t-cdfcompcens.R’ [5s/5s] Running ‘t-cvg-algo.R’ [0s/0s] Running ‘t-denscomp.R’ [4s/4s] Running ‘t-descdist.R’ [1s/1s] Running ‘t-detectbound.R’ [2s/2s] Running ‘t-fitbench.R’ [0s/0s] Running ‘t-fitdist-burr.R’ [14s/14s] Running ‘t-fitdist-customoptim.R’ [1s/1s] Running ‘t-fitdist-hessianpb.R’ [2s/2s] Running ‘t-fitdist-test-arguments.R’ [1s/1s] Running ‘t-fitdist.R’ [3s/3s] Running ‘t-fitdistcens.R’ [3s/3s] Running ‘t-gen-max-spacing-estim.R’ [1s/1s] Running ‘t-getparam.R’ [2s/2s] Running ‘t-gofstat.R’ [2s/2s] Running ‘t-init-actuar.R’ [0s/0s] Running ‘t-llplot.R’ [3s/3s] Running ‘t-lnL-surf.R’ [2s/2s] Running ‘t-logLik-vcov-coef.R’ [2s/2s] Running ‘t-manageparam.R’ [2s/2s] Running ‘t-mgedist.R’ [2s/2s] Running ‘t-mledist-asymptotic-vcov.R’ [1s/1s] Running ‘t-mledist-cens.R’ [2s/2s] Running ‘t-mledist-cvg-NelderMead.R’ [0s/0s] Running ‘t-mledist-nocens.R’ [3s/3s] Running ‘t-mledist-paramsupport.R’ [5s/5s] Running ‘t-mmedist-asymptotic-vcov.R’ [2s/2s] Running ‘t-mmedist.R’ [4s/4s] Running ‘t-msedist.R’ [3s/3s] Running ‘t-parallel.R’ [0s/0s] Running ‘t-plotdist.R’ [2s/2s] Running ‘t-plotdistcens.R’ [2s/2s] Running ‘t-ppcomp.R’ [4s/4s] Running ‘t-ppcompcens.R’ [5s/5s] Running ‘t-prefit.R’ [2s/2s] Running ‘t-qme-discrete.R’ [8s/8s] Running ‘t-qmedist-cvg-NelderMead.R’ [0s/0s] Running ‘t-qmedist.R’ [5s/5s] Running ‘t-qqcomp.R’ [5s/5s] Running ‘t-qqcompcens.R’ [4s/4s] Running ‘t-quantiledist.R’ [2s/2s] Running ‘t-startfixarg-overall.R’ [3s/3s] Running ‘t-starting-value-scale-rate.R’ [2s/2s] Running ‘t-startingvalues-fellerpareto-family.R’ [3s/3s] Running ‘t-startingvalues-inv-family.R’ [5s/5s] Running ‘t-startingvalues-invBurr-family.R’ [3s/3s] Running ‘t-startingvalues-invtrgamma-family.R’ [1s/1s] Running ‘t-startingvalues-othercont-family.R’ [3s/3s] Running ‘t-startingvalues-trgamma-family.R’ [2s/2s] Running ‘t-startingvalues-zeromod-family.R’ [2s/2s] Running ‘t-startingvalues-zerotrunc-family.R’ [2s/2s] Running ‘t-startingvalues.R’ [2s/2s] Running ‘t-util-mmedist-vcov.R’ [2s/2s] Running ‘t-util-npmle.R’ [1s/1s] Running ‘t-util-npsurv-mainfunction.R’ [2s/2s] Running ‘t-util-testdensity.R’ [2s/2s] Running ‘t-weird-ppcomp-cens.R’ [1s/1s] Running ‘t-weird-qqcomp-cens.R’ [2s/2s] Running the tests in ‘tests/t-startingvalues-inv-family.R’ failed. Complete output: > > require(actuar) Loading required package: actuar Attaching package: 'actuar' The following objects are masked from 'package:stats': sd, var The following object is masked from 'package:grDevices': cm > require(fitdistrplus) Loading required package: fitdistrplus Loading required package: MASS Loading required package: survival > n <- 1e4 > > > #### Inverse exponential #### > > x <- rinvexp(n, 3) > > if(FALSE) + { + fitdistrplus:::startarg_invtransgamma_family(x, "invexp") + fitdistrplus:::startarg_transgamma_family(1/x, "exp") + } > > cdfcomp(fitdist(x, "invexp"), xlogscale = TRUE, do.points = FALSE) > > > #### Inverse transformed gamma #### > > x <- rinvtrgamma(n, 3, 3, 10) > > if(FALSE) + { + fitdistrplus:::startarg_invtransgamma_family(x, "invtrgamma") + fitdistrplus:::startarg_transgamma_family(1/x, "trgamma") + + cutshapeparam(list("shape0"=1e3, "shape33"=1e-10, "theta"=22)) + cutshapeparam(list("shape0"=1e3, "shape33"=1e3, "theta"=22)) + + cutshapeparam(fitdistrplus:::startarg_invtransgamma_family(x, "invtrgamma")) + } > > cdfcomp(fitdist(x, "invtrgamma", lower=0), xlogscale = TRUE, do.points = FALSE) Warning messages: 1: In cov2cor(varcovar) : diag(V) had non-positive or NA entries; the non-finite result may be dubious 2: In sqrt(diag(varcovar)) : NaNs produced > cdfcomp(fitdist(x, "invtrgamma", lower=0, start=list("shape1"=100, "shape2"=1, "scale"=1/2)), + xlogscale = TRUE, do.points = FALSE) Error in fitdist(x, "invtrgamma", lower = 0, start = list(shape1 = 100, : the function mle failed to estimate the parameters, with the error code 1 Calls: cdfcomp -> fitdist Execution halted Package: gap Check: re-building of vignette outputs New result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘gap.Rmd’ using rmarkdown Read 16 records Read 9 records Read 12 records --- finished re-building ‘gap.Rmd’ --- re-building ‘shinygap.Rmd’ using rmarkdown Could not fetch http://www.zotero.org/styles/nature HttpExceptionRequest Request { host = "www.zotero.org" port = 80 secure = False requestHeaders = [] path = "/styles/nature" queryString = "" method = "GET" proxy = Nothing rawBody = False redirectCount = 10 responseTimeout = ResponseTimeoutDefault requestVersion = HTTP/1.1 proxySecureMode = ProxySecureWithConnect } ConnectionTimeout Error: processing vignette 'shinygap.Rmd' failed with diagnostics: pandoc document conversion failed with error 61 --- failed re-building ‘shinygap.Rmd’ --- re-building ‘jss.Rnw’ using Sweave --- finished re-building ‘jss.Rnw’ SUMMARY: processing the following file failed: ‘shinygap.Rmd’ Error: Vignette re-building failed. Execution halted Package: ggformula Check: for code/documentation mismatches New result: WARNING Codoc mismatches from Rd file 'gf_lines.Rd': gf_abline Code: function(object = NULL, gformula = NULL, data = NULL, ..., slope, intercept, color, linetype, linewidth, alpha, xlab, ylab, title, subtitle, caption, stat = "identity", show.legend = NA, show.help = NULL, inherit = FALSE, environment = parent.frame()) Docs: function(object = NULL, gformula = NULL, data = NULL, ..., slope, intercept, color, linetype, linewidth, alpha, xlab, ylab, title, subtitle, caption, show.legend = NA, show.help = NULL, inherit = FALSE, environment = parent.frame()) Argument names in code not in docs: stat Mismatches in argument names (first 3): Position: 16 Code: stat Docs: show.legend Position: 17 Code: show.legend Docs: show.help Position: 18 Code: show.help Docs: inherit gf_hline Code: function(object = NULL, gformula = NULL, data = NULL, ..., yintercept, color, linetype, linewidth, alpha, xlab, ylab, title, subtitle, caption, stat = "identity", position = "identity", show.legend = NA, show.help = NULL, inherit = FALSE, environment = parent.frame()) Docs: function(object = NULL, gformula = NULL, data = NULL, ..., yintercept, color, linetype, linewidth, alpha, xlab, ylab, title, subtitle, caption, position = "identity", show.legend = NA, show.help = NULL, inherit = FALSE, environment = parent.frame()) Argument names in code not in docs: stat Mismatches in argument names (first 3): Position: 15 Code: stat Docs: position Position: 16 Code: position Docs: show.legend Position: 17 Code: show.legend Docs: show.help gf_vline Code: function(object = NULL, gformula = NULL, data = NULL, ..., xintercept, color, linetype, linewidth, alpha, xlab, ylab, title, subtitle, caption, stat = "identity", position = "identity", show.legend = NA, show.help = NULL, inherit = FALSE, environment = parent.frame()) Docs: function(object = NULL, gformula = NULL, data = NULL, ..., xintercept, color, linetype, linewidth, alpha, xlab, ylab, title, subtitle, caption, position = "identity", show.legend = NA, show.help = NULL, inherit = FALSE, environment = parent.frame()) Argument names in code not in docs: stat Mismatches in argument names (first 3): Position: 15 Code: stat Docs: position Position: 16 Code: position Docs: show.legend Position: 17 Code: show.legend Docs: show.help Package: ggseg Check: tests New result: ERROR Running ‘spelling.R’ [0s/0s] Running ‘testthat.R’ [43s/44s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > > test_check("ggseg") Loading required package: ggseg Saving _problems/test-brain_palettes-10.R merging atlas and data by 'region' merging atlas and data by 'region' [ FAIL 1 | WARN 0 | SKIP 8 | PASS 106 ] ══ Skipped tests (8) ═══════════════════════════════════════════════════════════ • On CRAN (7): 'test-brain-atlas-plots.R:2:1', 'test-ggseg.R:8:1', 'test-ggseg.R:41:1', 'test-ggseg.R:50:1', 'test-ggseg_atlas.R:94:1', 'test-scale_brain.R:2:1', 'test-theme_brain.R:2:1' • empty test (1): 'test-coord-funcs.R:1:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-brain_palettes.R:10:3'): Check that palette extraction happens ok ── Error in `expect_warning(length(brain_pal("aseg", 2)), 3)`: `regexp` must be a single string, `NA`, or `NULL`, not the number 3. Backtrace: ▆ 1. └─testthat::expect_warning(regexp = 3) at test-brain_palettes.R:10:3 2. └─testthat:::check_string(regexp, allow_null = TRUE, allow_na = TRUE) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 1 | WARN 0 | SKIP 8 | PASS 106 ] Error: ! Test failures. Execution halted Package: ggside Check: for code/documentation mismatches New result: WARNING Codoc mismatches from Rd file 'geom_xsideabline.Rd': geom_xsideabline Code: function(mapping = NULL, data = NULL, stat = "identity", ..., slope, intercept, na.rm = FALSE, show.legend = NA, inherit.aes = FALSE) Docs: function(mapping = NULL, data = NULL, ..., slope, intercept, na.rm = FALSE, show.legend = NA) Argument names in code not in docs: stat inherit.aes Mismatches in argument names (first 3): Position: 3 Code: stat Docs: ... Position: 4 Code: ... Docs: slope Position: 5 Code: slope Docs: intercept geom_ysideabline Code: function(mapping = NULL, data = NULL, stat = "identity", ..., slope, intercept, na.rm = FALSE, show.legend = NA, inherit.aes = FALSE) Docs: function(mapping = NULL, data = NULL, ..., slope, intercept, na.rm = FALSE, show.legend = NA) Argument names in code not in docs: stat inherit.aes Mismatches in argument names (first 3): Position: 3 Code: stat Docs: ... Position: 4 Code: ... Docs: slope Position: 5 Code: slope Docs: intercept geom_xsidehline Code: function(mapping = NULL, data = NULL, stat = "identity", position = "identity", ..., yintercept, na.rm = FALSE, show.legend = NA, inherit.aes = FALSE) Docs: function(mapping = NULL, data = NULL, position = "identity", ..., yintercept, na.rm = FALSE, show.legend = NA) Argument names in code not in docs: stat inherit.aes Mismatches in argument names (first 3): Position: 3 Code: stat Docs: position Position: 4 Code: position Docs: ... Position: 5 Code: ... Docs: yintercept geom_ysidehline Code: function(mapping = NULL, data = NULL, stat = "identity", position = "identity", ..., yintercept, na.rm = FALSE, show.legend = NA, inherit.aes = FALSE) Docs: function(mapping = NULL, data = NULL, position = "identity", ..., yintercept, na.rm = FALSE, show.legend = NA) Argument names in code not in docs: stat inherit.aes Mismatches in argument names (first 3): Position: 3 Code: stat Docs: position Position: 4 Code: position Docs: ... Position: 5 Code: ... Docs: yintercept geom_xsidevline Code: function(mapping = NULL, data = NULL, stat = "identity", position = "identity", ..., xintercept, na.rm = FALSE, show.legend = NA, inherit.aes = FALSE) Docs: function(mapping = NULL, data = NULL, position = "identity", ..., xintercept, na.rm = FALSE, show.legend = NA) Argument names in code not in docs: stat inherit.aes Mismatches in argument names (first 3): Position: 3 Code: stat Docs: position Position: 4 Code: position Docs: ... Position: 5 Code: ... Docs: xintercept geom_ysidevline Code: function(mapping = NULL, data = NULL, stat = "identity", position = "identity", ..., xintercept, na.rm = FALSE, show.legend = NA, inherit.aes = FALSE) Docs: function(mapping = NULL, data = NULL, position = "identity", ..., xintercept, na.rm = FALSE, show.legend = NA) Argument names in code not in docs: stat inherit.aes Mismatches in argument names (first 3): Position: 3 Code: stat Docs: position Position: 4 Code: position Docs: ... Position: 5 Code: ... Docs: xintercept Package: ggsurveillance Check: tests New result: ERROR Running ‘spelling.R’ [0s/0s] Running ‘testthat.R’ [57s/58s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(ggsurveillance) > > test_check("ggsurveillance") Saving _problems/test-geom_epicurve-160.R Saving _problems/test-geom_epicurve-179.R [ FAIL 2 | WARN 18 | SKIP 38 | PASS 513 ] ══ Skipped tests (38) ══════════════════════════════════════════════════════════ • On CRAN (38): 'test-geom_bar_diverging.R:1:1', 'test-geom_bar_diverging.R:46:1', 'test-geom_bar_diverging.R:73:1', 'test-geom_bar_diverging.R:102:1', 'test-geom_bar_diverging.R:134:1', 'test-geom_bar_diverging.R:153:1', 'test-geom_bar_diverging.R:172:1', 'test-geom_bar_diverging.R:459:1', 'test-geom_bar_diverging.R:496:1', 'test-geom_bar_diverging.R:550:1', 'test-geom_bar_range.R:1:1', 'test-geom_bar_range.R:27:1', 'test-geom_bar_range.R:46:1', 'test-geom_epicurve.R:1:1', 'test-geom_epicurve.R:34:1', 'test-geom_epicurve.R:61:1', 'test-geom_epicurve.R:109:1', 'test-geom_epicurve.R:124:1', 'test-geom_epicurve.R:140:1', 'test-geom_epicurve.R:164:1', 'test-geom_epicurve.R:189:1', 'test-geom_epigantt.R:43:1', 'test-geom_epigantt.R:67:1', 'test-geom_epigantt.R:93:1', 'test-geom_vline_year.R:1:1', 'test-geom_vline_year.R:16:1', 'test-geom_vline_year.R:32:1', 'test-geom_vline_year.R:45:1', 'test-geom_vline_year.R:87:1', 'test-geom_vline_year.R:118:1', 'test-scale_discrete_reverse.R:1:1', 'test-stat_last_value.R:1:1', 'test-stat_last_value.R:21:1', 'test-stat_last_value.R:50:1', 'test-stat_last_value.R:70:1', 'test-stat_last_value.R:92:1', 'test-stat_last_value.R:114:1', 'test-stat_last_value.R:147:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-geom_epicurve.R:160:3'): geom_epicurve handles NA values correctly ── Expected `vdiffr::expect_doppelganger("6_geom_epicurve_na_TRUE", p2)` not to throw any warnings. Actually got a with message: Ignoring empty aesthetic: `width`. ── Failure ('test-geom_epicurve.R:179:3'): geom_epicurve with stat = 'bin_date' ── Expected `vdiffr::expect_doppelganger("7_geom_epicurve_bin_date_res", p1)` not to throw any warnings. Actually got a with message: Ignoring empty aesthetic: `width`. [ FAIL 2 | WARN 18 | SKIP 38 | PASS 513 ] Error: ! Test failures. Execution halted Package: graphhopper Check: tests New result: ERROR Running ‘testthat.R’ [2s/2s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(graphhopper) > > test_check("graphhopper") Saving _problems/test_route-22.R [ FAIL 1 | WARN 0 | SKIP 2 | PASS 6 ] ══ Skipped tests (2) ═══════════════════════════════════════════════════════════ • gh_is_avialable() is not TRUE (2): 'test_route-local-gh-instance.R:10:3', 'test_spt-local-gh-instance.R:4:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_route.R:9:3'): sf LINESTRING ─────────────────────────────────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_route.R:9:3 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) [ FAIL 1 | WARN 0 | SKIP 2 | PASS 6 ] Error: ! Test failures. Execution halted Package: greeks Check: tests New result: ERROR Running ‘testthat.R’ [52s/52s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(greeks) > > test_check("greeks") Saving _problems/test-BS_European_Greeks-107.R Saving _problems/test-BS_Geometric_Asian_Greeks-81.R Saving _problems/test-Implied_Volatility-90.R [1] "custom payoff" [1] "custom payoff" [1] "custom payoff" [ FAIL 3 | WARN 0 | SKIP 0 | PASS 17 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-BS_European_Greeks.R:107:3'): BS_European_Greeks is correct ──── Error in `expect(max(error) < sqrt(epsilon))`: `failure_message` must be a character vector, not absent. Backtrace: ▆ 1. └─testthat::expect(failure_message = ) at test-BS_European_Greeks.R:107:3 2. └─testthat:::check_character(failure_message) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) ── Error ('test-BS_Geometric_Asian_Greeks.R:81:3'): BS_Geometric_Asian_Greeks is correct ── Error in `expect(max(error) < sqrt(epsilon))`: `failure_message` must be a character vector, not absent. Backtrace: ▆ 1. └─testthat::expect(failure_message = ) at test-BS_Geometric_Asian_Greeks.R:81:3 2. └─testthat:::check_character(failure_message) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) ── Error ('test-Implied_Volatility.R:90:3'): implied volatility is correct ───── Error in `expect(max(abs(option_price_test - option_price)) < 1e-06)`: `failure_message` must be a character vector, not absent. Backtrace: ▆ 1. └─testthat::expect(failure_message = ) at test-Implied_Volatility.R:90:3 2. └─testthat:::check_character(failure_message) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 3 | WARN 0 | SKIP 0 | PASS 17 ] Error: ! Test failures. Execution halted Package: hdcuremodels Check: tests New result: ERROR Running ‘testthat.R’ [303s/305s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(hdcuremodels) > > test_check("hdcuremodels") Fold 1 out of 2 training... Fold 2 out of 2 training... Selected lambda for incidence: 0.083 Selected lambda for latency: 0.083 Maximum C-statistic: 0.724278947141186 Fitting a final model... Fold 1 out of 2 training... Fold 2 out of 2 training... Selected lambda for incidence: 0.062 Selected lambda for latency: 0.062 Maximum C-statistic: 0.756490658089751 Fitting a final model... Fold 1 out of 2 training... Fold 2 out of 2 training... Selected lambda for incidence: 0.062 Selected lambda for latency: 0.062 Maximum C-statistic: 0.756012758893876 Fitting a final model... Fold 1 out of 2 training... Fold 2 out of 2 training... Selected step: 297 Maximum C-statistic: 0.770985658659945 Fitting a final model... Fold 1 out of 2 training... Fold 2 out of 2 training... Selected step: 434 Maximum C-statistic: 0.734125636924605 Fitting a final model... Fold 1 out of 2 training... Fold 2 out of 2 training... Selected lambda for incidence: 0.09 Selected lambda for latency: 0.09 Maximum C-statistic: 0.691812421454834 Fitting a final model... Fold 1 out of 2 training... Fold 2 out of 2 training... Selected lambda for incidence: 0.105 Selected lambda for latency: 0.105 Maximum C-statistic: 0.71552008323144 Fitting a final model... Fold 1 out of 2 training... Fold 2 out of 2 training... Selected step: 27 Maximum C-statistic: 0.674984053600791 Fitting a final model... Fold 1 out of 2 training... Fold 2 out of 2 training... Selected step: 3 Maximum C-statistic: 0.697702519726813 Fitting a final model... Family: Cox Algorithm: EM Family: Cox Algorithm: EM Saving _problems/test-formula-11.R Saving _problems/test-logLik-11.R Saving _problems/test-nobs-11.R Fold 1 out of 2 training... Fold 2 out of 2 training... Selected step: 27 Maximum C-statistic: 0.674984053600791 Fitting a final model... Fold 1 out of 2 training... Fold 2 out of 2 training... Selected lambda for incidence: 0.155 Selected lambda for latency: 0.155 Maximum C-statistic: 0.635331032110145 Fitting a final model... Fold 1 out of 2 training... Fold 2 out of 2 training... Selected lambda for incidence: 0.083 Selected lambda for latency: 0.083 Maximum C-statistic: 0.724278947141186 Fitting a final model... mixturecure object fit using Weibull GMIFS algorithm $b_path U1 U2 X1 X2 X3 X4 [1,] 0 0 0.01 0 0 0 [2,] 0 0 0.02 0 0 0 [3,] 0 0 0.03 0 0 0 [4,] 0 0 0.04 0 0 0 [5,] 0 0 0.05 0 0 0 [6,] 0 0 0.06 0 0 0 1274 more rows 6 more columns $beta_path U1 U2 X1 X2 X3 X4 [1,] 0 0 0.01 0 0 0.00 [2,] 0 0 0.02 0 0 0.00 [3,] 0 0 0.03 0 0 0.00 [4,] 0 0 0.03 0 0 0.01 [5,] 0 0 0.03 0 0 0.02 [6,] 0 0 0.03 0 0 0.03 1274 more rows 6 more columns $rate 1.74771 1.747557 1.745463 1.776432 1.806308 1.835547 1274 more elements $alpha 0.5120896 0.5130922 0.5131297 0.5149383 0.5167088 0.51841 1274 more elements Fold 1 out of 2 training... Fold 2 out of 2 training... Selected lambda for incidence: 0.083 Selected lambda for latency: 0.083 Maximum C-statistic: 0.724278947141186 Fitting a final model... mixturecure object fit using Cox EM algorithm $b 0 0 0 0 0 0 6 more elements $beta 0 0 0.8829866 0 0.3677159 0 6 more elements Fold 1 out of 2 training... Fold 2 out of 2 training... Selected lambda for incidence: 0.062 Selected lambda for latency: 0.062 Maximum C-statistic: 0.756490658089751 Fitting a final model... mixturecure object fit using Weibull EM algorithm $b 0 0 0.3534216 -0.1938579 0 -0.4778904 6 more elements $beta 0 0 0 0 0 0 6 more elements $rate 5.125488 $alpha 0.897226 Mixture cure model fit using the EM algorithm Number of non-zero incidence covariates at minimum AIC: 0 Number of non-zero latency covariates at minimum AIC: 17 Optimal step for selected information criterion: EM algorithm at step = 51 logLik = -118.896956094066 at step = 51 AIC = 273.793912188132 at step = 51 mAIC = 490.199530466681 at step = 51 cAIC = 290.4768390174 at step = 51 BIC = 311.492114308129 at step = 51 mBIC = 453.037837086205 at step = 51 EBIC = 370.050413661889 Mixture cure model fit using the EM algorithm Number of non-zero incidence covariates at minimum AIC: 0 Number of non-zero latency covariates at minimum AIC: 17 Optimal step for selected information criterion: EM algorithm at step = 51 logLik = -118.896956094066 at step = 51 AIC = 273.793912188132 at step = 51 mAIC = 490.199530466681 at step = 51 cAIC = 290.4768390174 at step = 51 BIC = 311.492114308129 at step = 51 mBIC = 453.037837086205 at step = 51 EBIC = 370.050413661889 Fold 1 out of 2 training... Fold 2 out of 2 training... Selected lambda for incidence: 0.054 Selected lambda for latency: 0.054 Maximum C-statistic: 0.703222725537594 Fitting a final model... Mixture cure model fit using the EM algorithm using cross-validation Number of non-zero incidence covariates: 3 Number of non-zero latency covariates: 26 Mixture cure model fit using the EM algorithm using cross-validation Number of non-zero incidence covariates: 3 Number of non-zero latency covariates: 26 [ FAIL 3 | WARN 0 | SKIP 0 | PASS 552 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-formula.R:11:3'): formula function works correctly ───────────── Error in `expect(is.call(formula(fit)))`: `failure_message` must be a character vector, not absent. Backtrace: ▆ 1. └─testthat::expect(failure_message = ) at test-formula.R:11:3 2. └─testthat:::check_character(failure_message) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) ── Error ('test-logLik.R:11:3'): logLik function works correctly ─────────────── Error in `expect(round(logLik(fit), 5), -9.22893)`: `ok` must be `TRUE` or `FALSE`, not a object. Backtrace: ▆ 1. └─testthat::expect(ok = round(logLik(fit), 5)) at test-logLik.R:11:3 2. └─testthat:::check_bool(ok) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) ── Error ('test-nobs.R:11:3'): nobs function works correctly ─────────────────── Error in `expect(nobs(fit), 60)`: `ok` must be `TRUE` or `FALSE`, not the number 60. Backtrace: ▆ 1. └─testthat::expect(ok = nobs(fit)) at test-nobs.R:11:3 2. └─testthat:::check_bool(ok) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 3 | WARN 0 | SKIP 0 | PASS 552 ] Error: ! Test failures. Execution halted Package: idiolect Check: tests New result: ERROR Running ‘testthat.R’ [167s/166s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(idiolect) Loading required package: quanteda Package version: 4.3.1 Unicode version: 16.0 ICU version: 76.1 Parallel computing: 3 of 32 threads used. See https://quanteda.io for tutorials and examples. > > test_check("idiolect") Saving _problems/test-impostors-35.R Saving _problems/test-impostors-84.R Saving _problems/test-impostors-123.R | | | 0% | |= | 1% | |= | 2% | |== | 3% | |=== | 4% | |==== | 5% | |==== | 6% | |===== | 7% | |====== | 8% | |======= | 9% | |======= | 11% | |======== | 12% | |========= | 13% | |========== | 14% | |========== | 15% | |=========== | 16% | |============ | 17% | |============= | 18% | |============= | 19% | |============== | 20% | |=============== | 21% | |=============== | 22% | |================ | 23% | |================= | 24% | |================== | 25% | |================== | 26% | |=================== | 27% | |==================== | 28% | |===================== | 29% | |===================== | 31% | |====================== | 32% | |======================= | 33% | |======================== | 34% | |======================== | 35% | |========================= | 36% | |========================== | 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|================================================================== | 94% | |================================================================== | 95% | |=================================================================== | 96% | |==================================================================== | 97% | |===================================================================== | 98% | |===================================================================== | 99% | |======================================================================| 100% Setting levels: control = FALSE, case = TRUE Setting direction: controls < cases Setting levels: control = FALSE, case = TRUE Setting direction: controls < cases [ FAIL 3 | WARN 1 | SKIP 11 | PASS 14 ] ══ Skipped tests (11) ══════════════════════════════════════════════════════════ • On CRAN (9): 'test-calibrate_LLR.R:1:1', 'test-chunk_texts.R:1:1', 'test-concordance.R:1:1', 'test-create_corpus.R:1:1', 'test-delta.R:1:1', 'test-lambdaG_visualize.R:1:1', 'test-most_similar.R:1:1', 'test-ngram_tracing.R:1:1', 'test-vectorize.R:1:1' • spacyr environment not present (2): 'test-contentmask.R:4:3', 'test-tokenize_sents.R:4:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-impostors.R:35:3'): RBI works ────────────────────────────────── Error in `testthat::expect(results.corpus[1, 4], 0.54)`: `ok` must be `TRUE` or `FALSE`, not the number 0.54. Backtrace: ▆ 1. └─testthat::expect(ok = results.corpus[1, 4]) at test-impostors.R:35:3 2. └─testthat:::check_bool(ok) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) ── Error ('test-impostors.R:84:3'): KGI works ────────────────────────────────── Error in `testthat::expect(results.corpus[1, 4], 0.75)`: `ok` must be `TRUE` or `FALSE`, not the number 0.75. Backtrace: ▆ 1. └─testthat::expect(ok = results.corpus[1, 4]) at test-impostors.R:84:3 2. └─testthat:::check_bool(ok) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) ── Error ('test-impostors.R:123:3'): IM works ────────────────────────────────── Error in `testthat::expect(results.corpus[4, 4], 0.57)`: `ok` must be `TRUE` or `FALSE`, not the number 0.57. Backtrace: ▆ 1. └─testthat::expect(ok = results.corpus[4, 4]) at test-impostors.R:123:3 2. └─testthat:::check_bool(ok) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 3 | WARN 1 | SKIP 11 | PASS 14 ] Error: ! Test failures. Execution halted Package: imager Check: tests New result: ERROR Running ‘testthat.R’ [34s/34s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(imager) Loading required package: magrittr Attaching package: 'magrittr' The following objects are masked from 'package:testthat': equals, is_less_than, not Attaching package: 'imager' The following object is masked from 'package:magrittr': add The following objects are masked from 'package:stats': convolve, spectrum The following object is masked from 'package:graphics': frame The following object is masked from 'package:base': save.image > > test_check("imager") Saving _problems/test_load_save_videos-15.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 19 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_load_save_videos.R:15:13'): load_and_save_videos ─────────────── Error in `expect(file_test("-f", ff), TRUE)`: `failure_message` must be a character vector, not `TRUE`. Backtrace: ▆ 1. └─testthat::expect(failure_message = TRUE) at test_load_save_videos.R:15:13 2. └─testthat:::check_character(failure_message) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 19 ] Error: ! Test failures. Execution halted Package: LSX Check: tests New result: ERROR Running ‘spelling.R’ [0s/0s] Running ‘testthat.R’ [108s/90s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > require(testthat) Loading required package: testthat > require(quanteda) Loading required package: quanteda Package version: 4.3.1 Unicode version: 16.0 ICU version: 76.1 Parallel computing: 3 of 32 threads used. See https://quanteda.io for tutorials and examples. > quanteda_options(threads = 2) > test_check("LSX") Loading required package: LSX Saving _problems/test-utils-141.R [ FAIL 1 | WARN 0 | SKIP 13 | PASS 222 ] ══ Skipped tests (13) ══════════════════════════════════════════════════════════ • On CRAN (12): 'test-as.textmodel.R:161:5', 'test-as.textmodel.R:183:5', 'test-textmodel_lss.R:185:5', 'test-textmodel_lss.R:192:5', 'test-textmodel_lss.R:200:5', 'test-textmodel_lss.R:240:5', 'test-textmodel_lss.R:331:5', 'test-textmodel_lss.R:414:5', 'test-textmodel_lss.R:439:5', 'test-textmodel_lss2.R:14:3', 'test-textmodel_lss2.R:83:3', 'test-utils.R:62:3' • empty test (1): 'test-textplot.R:37:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-utils.R:141:3'): smooth_lss works with multiple grouping variables ── Error in `predLoess(object$y, object$x, newx = if (is.null(newdata)) object$x else if (is.data.frame(newdata)) as.matrix(model.frame(delete.response(terms(object)), newdata, na.action = na.action)) else as.matrix(newdata), object$s, object$weights, object$robust, op$span, op$degree, op$normalize, op$parametric, op$drop.square, op$surface, op$cell, op$family, object$kd, object$divisor, se = se)`: NA/NaN/Inf in foreign function call (arg 5) Backtrace: ▆ 1. └─LSX::smooth_lss(dat, groups = c("class1", "class2")) at test-utils.R:141:3 2. └─base::lapply(...) 3. └─LSX (local) FUN(X[[i]], ...) 4. └─LSX:::smooth_data(y, dummy, span, engine, ...) 5. ├─base::suppressWarnings(...) 6. │ └─base::withCallingHandlers(...) 7. ├─stats::predict(...) 8. └─stats:::predict.loess(...) 9. └─stats:::predLoess(...) [ FAIL 1 | WARN 0 | SKIP 13 | PASS 222 ] Error: ! Test failures. Execution halted Package: malariaAtlas Check: re-building of vignette outputs New result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘overview.Rmd’ using rmarkdown Quitting from overview.Rmd:233-236 [unnamed-chunk-31] Execution halted Package: mbbe Check: tests New result: ERROR Running ‘testthat.R’ [29s/30s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(mbbe) > > test_check("mbbe") Saving _problems/test-check_requirements-52.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-check_requirements.R:39:3'): check_requirements works ────────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test-check_requirements.R:39:3 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ] Error: ! Test failures. Execution halted Package: MetaComp Check: tests New result: ERROR Running ‘testthat.R’ [18s/18s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(MetaComp) > > test_check("MetaComp") [1] "gottcha" [1] "kraken" Saving _problems/test_load_metaphlan_assignment-14.R Saving _problems/test_pipeline-37.R Saving _problems/test_plot_bwa_assignment-31.R Saving _problems/test_plot_diamond_assignment-31.R Saving _problems/test_plot_gottcha_assignment-31.R Saving _problems/test_plot_kraken_assignment-31.R Saving _problems/test_plot_merged_assignment_b-80.R Saving _problems/test_plot_merged_assignment_d-80.R Saving _problems/test_plot_merged_assignment_g-78.R Saving _problems/test_plot_merged_assignment_g2-78.R Saving _problems/test_plot_merged_assignment_k-80.R Saving _problems/test_plot_merged_assignment_m-80.R Saving _problems/test_plot_merged_assignment_p-81.R Saving _problems/test_plot_metaphlan_assignment-31.R Saving _problems/test_plot_pangia_assignment-31.R [ FAIL 15 | WARN 21 | SKIP 0 | PASS 108 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_load_metaphlan_assignment.R:14:1'): (code run outside of `test_that()`) ── Error in `matches("LEVEL")`: could not find function "matches" Backtrace: ▆ 1. └─testthat::expect_that(colnames(dat)[1], matches("LEVEL")) at test_load_metaphlan_assignment.R:14:1 ── Error ('test_pipeline.R:37:1'): (code run outside of `test_that()`) ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(...) at test_pipeline.R:37:1 ── Error ('test_plot_bwa_assignment.R:31:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(file.exists(png_name), is_true()) at test_plot_bwa_assignment.R:31:1 ── Error ('test_plot_diamond_assignment.R:31:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(file.exists(png_name), is_true()) at test_plot_diamond_assignment.R:31:1 ── Error ('test_plot_gottcha_assignment.R:31:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(file.exists(png_name), is_true()) at test_plot_gottcha_assignment.R:31:1 ── Error ('test_plot_kraken_assignment.R:31:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(file.exists(png_name), is_true()) at test_plot_kraken_assignment.R:31:1 ── Error ('test_plot_merged_assignment_b.R:80:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(...) at test_plot_merged_assignment_b.R:80:1 ── Error ('test_plot_merged_assignment_d.R:80:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(...) at test_plot_merged_assignment_d.R:80:1 ── Error ('test_plot_merged_assignment_g.R:78:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(...) at test_plot_merged_assignment_g.R:78:1 ── Error ('test_plot_merged_assignment_g2.R:78:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(...) at test_plot_merged_assignment_g2.R:78:1 ── Error ('test_plot_merged_assignment_k.R:80:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(...) at test_plot_merged_assignment_k.R:80:1 ── Error ('test_plot_merged_assignment_m.R:80:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(...) at test_plot_merged_assignment_m.R:80:1 ── Error ('test_plot_merged_assignment_p.R:81:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(...) at test_plot_merged_assignment_p.R:81:1 ── Error ('test_plot_metaphlan_assignment.R:31:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(file.exists(png_name), is_true()) at test_plot_metaphlan_assignment.R:31:1 ── Error ('test_plot_pangia_assignment.R:31:1'): (code run outside of `test_that()`) ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(file.exists(png_name), is_true()) at test_plot_pangia_assignment.R:31:1 [ FAIL 15 | WARN 21 | SKIP 0 | PASS 108 ] Error: ! Test failures. Execution halted Package: moexer Check: tests New result: ERROR Running ‘testthat.R’ [2s/2s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(moexer) > > test_check("moexer") Saving _problems/test-candles-20.R Saving _problems/test-candles-31.R Saving _problems/test-candles-42.R Saving _problems/test-iss-6.R [ FAIL 4 | WARN 0 | SKIP 0 | PASS 0 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-candles.R:17:5'): Fetching candles works ─────────────────────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test-candles.R:17:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test-candles.R:28:5'): Specifying wrong symbols only returns an empty tibble ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test-candles.R:28:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test-candles.R:39:5'): Getting candle borders works ───────────────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test-candles.R:39:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test-iss.R:3:5'): Parsing a JSON ISS response works ───────────────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test-iss.R:3:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) [ FAIL 4 | WARN 0 | SKIP 0 | PASS 0 ] Error: ! Test failures. Execution halted Package: nhdplusTools Check: tests New result: ERROR Running ‘testthat.R’ [45s/34s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library("testthat") > > test_check("nhdplusTools") Loading required package: nhdplusTools Starting 2 test processes. > test_02_subset.R: All intersections performed in latitude/longitude. > test_02_subset.R: All intersections performed in latitude/longitude. > test_02_subset.R: All intersections performed in latitude/longitude. > test_02_subset.R: All intersections performed in latitude/longitude. Saving _problems/test_02_subset_extras-75.R [ FAIL 1 | WARN 0 | SKIP 58 | PASS 315 ] ══ Skipped tests (58) ══════════════════════════════════════════════════════════ • On CRAN (58): 'test_00_plot_bbox_nhdplus.R:5:3', 'test_00_plot_integration_nhdplus.R:6:3', 'test_00_plot_local_nhdplus.R:9:3', 'test_00_plot_local_extra_nhdplus.R:9:3', 'test_01_get_nldi.R:5:3', 'test_01_get_nldi.R:25:3', 'test_01_get_nldi.R:85:3', 'test_01_get_nldi.R:122:3', 'test_01_get_nldi.R:140:3', 'test_01_get_nldi.R:176:3', 'test_01_get_nldi.R:224:3', 'test_00_plot_nhdplus.R:6:3', 'test_00_plot_nhdplus.R:90:3', 'test_00_plot_nhdplus.R:134:3', 'test_00_plot_nhdplus.R:164:3', 'test_00_plot_nhdplus.R:201:3', 'test_02_subset.R:135:3', 'test_02_subset.R:191:3', 'test_03_get_functions.R:21:3', 'test_03_get_functions.R:48:3', 'test_03_get_functions.R:71:3', 'test_03_get_functions.R:122:3', 'test_03_get_functions.R:193:3', 'test_03_get_functions.R:209:3', 'test_03_get_functions.R:222:3', 'test_03_get_functions.R:240:3', 'test_03_get_functions.R:247:3', 'test_arcrest.R:58:3', 'test_02_subset_extras.R:94:3', 'test_02_subset_extras.R:149:3', 'test_geoconnex.R:3:3', 'test_geoconnex.R:14:3', 'test_get_3dhp.R:3:3', 'test_get_codes.R:4:3', 'test_get_nhdphr.R:3:3', 'test_get_nhdplus.R:8:3', 'test_get_nhdplus.R:29:3', 'test_get_nhdplus.R:49:3', 'test_get_nhdplushr.R:3:3', 'test_get_nhdplushr.R:23:3', 'test_get_nhdplushr.R:53:3', 'test_get_nhdplushr.R:80:3', 'test_get_nhdplushr.R:101:3', 'test_get_nhdplushr.R:147:3', 'test_get_nhdplushr.R:174:3', 'test_get_nhdplushr.R:196:3', 'test_get_vaa.R:4:3', 'test_get_vaa.R:38:3', 'test_index.R:13:5', 'test_index.R:61:3', 'test_map_nhdplus.R:4:3', 'test_navigate.R:4:3', 'test_navigate.R:71:3', 'test_nhdplusTools.R:41:3', 'test_nhdplusTools.R:50:3', 'test_rescale_catchments.R:3:3', 'test_run_plus_attributes.R:20:3', 'test_get_path.R:69:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_02_subset_extras.R:75:3'): by rpu ────────────────────────────── Error in `expect(nrow(out), 267)`: `ok` must be `TRUE` or `FALSE`, not the number 267. Backtrace: ▆ 1. └─testthat::expect(ok = nrow(out)) at test_02_subset_extras.R:75:3 2. └─testthat:::check_bool(ok) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 1 | WARN 0 | SKIP 58 | PASS 315 ] Error: ! Test failures. Execution halted Package: oxcAAR Check: tests New result: ERROR Running ‘testthat.R’ [5s/5s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(oxcAAR) > > test_check("oxcAAR") Saving _problems/test_calibrate-9.R Saving _problems/test_calibrate-62.R Saving _problems/test_oxcalsumsim-9.R Saving _problems/test_oxcalsumsim-43.R Saving _problems/test_simulate-9.R Saving _problems/test_simulate-61.R [ FAIL 6 | WARN 2 | SKIP 1 | PASS 50 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test_utility_functions.R:30:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_calibrate.R:4:3'): oxcalCalibrate produces error given wrong oxcal result file ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_calibrate.R:4:3 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_calibrate.R:12:1'): (code run outside of `test_that()`) ──────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_calibrate.R:12:1 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_oxcalsumsim.R:4:3'): oxcalSumSim produces error given wrong oxcal result file ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_oxcalsumsim.R:4:3 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_oxcalsumsim.R:12:1'): (code run outside of `test_that()`) ────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_oxcalsumsim.R:12:1 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_simulate.R:4:3'): oxcalSimulate produces error given wrong oxcal result file ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_simulate.R:4:3 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_simulate.R:12:1'): (code run outside of `test_that()`) ───────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_simulate.R:12:1 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) [ FAIL 6 | WARN 2 | SKIP 1 | PASS 50 ] Error: ! Test failures. Execution halted Package: passport Check: tests New result: ERROR Running ‘testthat.R’ [1s/1s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(passport) > > test_check("passport") Saving _problems/test_parse_country-49.R [ FAIL 1 | WARN 4 | SKIP 1 | PASS 37 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test_parse_country.R:91:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test_parse_country.R:43:5'): parsing country names with simulated geocoding APIs works ── `with_mock(...)` threw an error with unexpected message. Expected match: "jsonlite" Actual message: "`with_mock()` was deprecated in testthat 3.2.0 and is now defunct.\nℹ Please use `with_mocked_bindings()` instead." Backtrace: ▆ 1. ├─testthat::expect_error(...) at test_parse_country.R:43:5 2. │ └─testthat:::quasi_capture(...) 3. │ ├─testthat (local) .capture(...) 4. │ │ └─base::withCallingHandlers(...) 5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo)) 6. └─testthat::with_mock(...) 7. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 8. └─lifecycle:::deprecate_stop0(msg) 9. └─rlang::cnd_signal(...) [ FAIL 1 | WARN 4 | SKIP 1 | PASS 37 ] Error: ! Test failures. Execution halted Package: pocketapi Check: tests New result: ERROR Running ‘testthat.R’ [3s/3s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(pocketapi) > > test_check("pocketapi") Saving _problems/test_pocket_add-43.R Saving _problems/test_pocket_archive-28.R Saving _problems/test_pocket_archive-44.R Saving _problems/test_pocket_delete-29.R Saving _problems/test_pocket_delete-44.R Saving _problems/test_pocket_delete-58.R Saving _problems/test_pocket_favorite-28.R Saving _problems/test_pocket_tag-37.R Saving _problems/test_pocket_tag-51.R Saving _problems/test_pocket_tag-71.R Saving _problems/test_pocket_tag-91.R Saving _problems/test_pocket_tag-112.R Saving _problems/test_pocket_unfavorite-28.R [ FAIL 13 | WARN 0 | SKIP 0 | PASS 45 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_pocket_add.R:32:7'): Valid case ──────────────────────────────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_add.R:32:7 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_archive.R:22:5'): pocket_archive - success generates message ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_archive.R:22:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_archive.R:38:5'): pocket_archive - one success, one error ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_archive.R:38:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_delete.R:23:5'): pocket_delete - success generates message ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_delete.R:23:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_delete.R:38:5'): pocket_delete - two successes ────────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_delete.R:38:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_delete.R:52:5'): pocket_delete - one success, one error ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_delete.R:52:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_favorite.R:22:5'): pocket_favorite - success generates message ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_favorite.R:22:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_tag.R:32:5'): pocket_tag tags_add - two successes ─────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_tag.R:32:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_tag.R:46:5'): pocket_tag tags_remove - two successes ──── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_tag.R:46:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_tag.R:66:5'): pocket_tag tags_clear - two successes ───── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_tag.R:66:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_tag.R:86:5'): pocket_tag tags_replace - two successes ─── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_tag.R:86:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_tag.R:107:5'): pocket_tag tag_delete - success ────────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_tag.R:107:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test_pocket_unfavorite.R:22:5'): pocket_unfavorite - success generates message ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test_pocket_unfavorite.R:22:5 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) [ FAIL 13 | WARN 0 | SKIP 0 | PASS 45 ] Error: ! Test failures. Execution halted Package: pointblank Check: tests New result: ERROR Running ‘testthat.R’ [37s/37s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(pointblank) > library(dittodb) Loading required package: DBI > test_check("pointblank") Saving _problems/test-tidyselect_integration-76.R [ FAIL 1 | WARN 0 | SKIP 0 | PASS 1824 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-tidyselect_integration.R:73:3'): Full range of tidyselect features available in column selection ── Expected exactly one success and no failures. Actually succeeded 2 times [ FAIL 1 | WARN 0 | SKIP 0 | PASS 1824 ] Error: ! Test failures. Execution halted Package: projmgr Check: tests New result: ERROR Running ‘testthat.R’ [3s/3s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(projmgr) > > test_check("projmgr") Saving _problems/test-get-engine-20.R Saving _problems/test-get-engine-30.R Saving _problems/test-get-engine-39.R Saving _problems/test-get-engine-47.R [ FAIL 4 | WARN 1 | SKIP 3 | PASS 106 ] ══ Skipped tests (3) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-browse.R:3:1' • This set of tests should only be run manually (2): 'test-get-interactive.R:3:1', 'test-post-issue-interactive.R:3:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-get-engine.R:12:1'): Single item results are wrapped as list of lists ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test-get-engine.R:22:1'): Empty results are wrapped as empty character ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test-get-engine.R:33:1'): Repo metadata is added for non-empty results ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test-get-engine.R:41:1'): Repo metadata is not added for non-empty results ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) [ FAIL 4 | WARN 1 | SKIP 3 | PASS 106 ] Error: ! Test failures. Execution halted Package: rags2ridges Check: tests New result: ERROR Running ‘testthat.R’ [91s/95s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(rags2ridges) > > test_check("rags2ridges") Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving _problems/test-armaRidgeP-66.R Saving 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_problems/test-xfcvl-26.R [ FAIL 830 | WARN 320 | SKIP 0 | PASS 984 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DAIE ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DIAES ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DUPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DAPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DCPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DEPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = Null ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DAIE ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DIAES ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DUPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DAPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DCPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DEPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = Null ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DAIE ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DIAES ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DUPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DAPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DCPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DEPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = Null ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DAIE ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DIAES ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DUPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DAPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DCPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DEPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = Null ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DAIE ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DIAES ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DUPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DAPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DCPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = DEPV ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-14 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e-10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1 ────────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+10 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+50 ────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+100 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+200 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = 1e+300 ───────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:66:7'): proper format for lambda = Inf ──────────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(is.double(res), is_true()) at test-armaRidgeP.R:66:7 ── Error ('test-armaRidgeP.R:97:7'): proper values for very small lambda, type = Null ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(all(abs(aa) <= abs(bb)), is_true()) at test-armaRidgeP.R:97:7 ── Error ('test-armaRidgeP.R:120:3'): Test armaRidgeP in various special cases (by reference) ── Error in `is_false()`: could not find function "is_false" Backtrace: ▆ 1. └─testthat::expect_that(...) at test-armaRidgeP.R:120:3 ── Error ('test-isSymmetricPD.R:29:3'): isSymmetricPD works as intended ──────── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(isSymmetricPD(pdS), is_true()) at test-isSymmetricPD.R:29:3 ── Error ('test-xfcvl.R:26:3'): .xfcl functions works properly on degenerated data ── Error in `is_true()`: could not find function "is_true" Backtrace: ▆ 1. └─testthat::expect_that(TRUE, is_true()) at test-xfcvl.R:26:3 [ FAIL 830 | WARN 320 | SKIP 0 | PASS 984 ] Error: ! Test failures. Execution halted Package: RBaM Check: examples New result: ERROR Running examples in ‘RBaM-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: SPD_estimate > ### Title: Estimation of a BaRatin-SPD model > ### Aliases: SPD_estimate > > ### ** Examples > > # Calibration data > H=MeyrasGaugings$h > Q=MeyrasGaugings$Q > uQ=MeyrasGaugings$uQ > # Control matrix > controlMatrix=rbind(c(1,0,0),c(0,1,0),c(0,1,1)) > # Declare variable parameters. > bVAR=c(TRUE, TRUE, FALSE) # b's for first 2 controls (k1 and k2) are VAR > aVAR=c(TRUE, FALSE, FALSE) # a for first control (a1) is VAR > # Define priors. > b1=parameter(name='b1',init=-0.6,prior.dist='Gaussian',prior.par=c(-0.6,0.5)) > a1=parameter(name='a1',init=exp(2.65),prior.dist='LogNormal',prior.par=c(2.65,0.35)) > c1=parameter(name='c1',init=1.5,prior.dist='Gaussian',prior.par=c(1.5,0.025)) > b2=parameter(name='b2',init=0,prior.dist='Gaussian',prior.par=c(-0.6,0.5)) > a2=parameter(name='a2',init=exp(3.28),prior.dist='LogNormal',prior.par=c(3.28,0.33)) > c2=parameter(name='c2',init=1.67,prior.dist='Gaussian',prior.par=c(1.67,0.025)) > b3=parameter(name='b3',init=1.2,prior.dist='Gaussian',prior.par=c(1.2,0.2)) > a3=parameter(name='a3',init=exp(3.48),prior.dist='LogNormal',prior.par=c(3.46,0.38)) > c3=parameter(name='c3',init=1.67,prior.dist='Gaussian',prior.par=c(1.67,0.025)) > pars=list(b1,a1,c1,b2,a2,c2,b3,a3,c3) > # Define properties of VAR parameters. > deltaPars=list(b1=c(0,0.25),a1=c(0,0.2),b2=c(0,0.5)) > periods=list(b1=MeyrasGaugings$Period,a1=c(rep(1,49),rep(2,55)),b2=MeyrasGaugings$Period) > # Run BaM and estimate SPD parameters > mcmcOpt=mcmcOptions(nAdapt=20,nCycles=25) # only few iterations so that the example runs fast. > mcmc=SPD_estimate(workspace=tempdir(),controlMatrix=controlMatrix,pars=pars, + bVAR=bVAR,aVAR=aVAR,deltaPars=deltaPars,periods=periods, + H=H,Q=Q,uQ=uQ,mcmcOpt=mcmcOpt) Error in if (!ok) { : argument is of length zero Calls: SPD_estimate -> BaM Execution halted Package: readabs Check: tests New result: ERROR Running ‘testthat.R’ [31s/141s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(readabs) Environment variable 'R_READABS_PATH' is unset. Downloaded files will be saved in a temporary directory. You can set 'R_READABS_PATH' at any time. To set it for the rest of this session, use Sys.setenv(R_READABS_PATH = ) > > test_check("readabs") trying URL 'https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/latest-release/3101059.xlsx' Content type 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' length 199727 bytes (195 KB) ================================================== downloaded 195 KB trying URL 'https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/latest-release/3101051.xlsx' Content type 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' length 194781 bytes (190 KB) ================================================== downloaded 190 KB trying URL 'https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/latest-release/3101052.xlsx' Content type 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' length 194207 bytes (189 KB) ================================================== downloaded 189 KB trying URL 'https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/latest-release/3101053.xlsx' Content type 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' length 191347 bytes (186 KB) ================================================== downloaded 186 KB trying URL 'https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/latest-release/3101054.xlsx' Content type 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' length 187922 bytes (183 KB) ================================================== downloaded 183 KB trying URL 'https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/latest-release/3101055.xlsx' Content type 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' length 188251 bytes (183 KB) ================================================== downloaded 183 KB trying URL 'https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/latest-release/3101056.xlsx' Content type 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' length 181757 bytes (177 KB) ================================================== downloaded 177 KB trying URL 'https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/latest-release/3101057.xlsx' Content type 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' length 174015 bytes (169 KB) ================================================== downloaded 169 KB trying URL 'https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/latest-release/3101058.xlsx' Content type 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' length 178287 bytes (174 KB) ================================================== downloaded 174 KB trying URL 'https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/latest-release/310101.xlsx' trying URL 'https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/latest-release/310101.xls' Saving _problems/test-read_erp-18.R [ FAIL 1 | WARN 0 | SKIP 34 | PASS 80 ] ══ Skipped tests (34) ══════════════════════════════════════════════════════════ • On CRAN (34): 'test-abs_api.R:2:3', 'test-abs_api.R:16:3', 'test-abs_api.R:46:3', 'test-abs_api.R:55:3', 'test-check_latest_date.R:2:3', 'test-data-uptodate.R:2:3', 'test-data-uptodate.R:15:3', 'test-download-data-cube.r:4:3', 'test-download_abs.R:2:3', 'test-fst.R:2:3', 'test-get_available_files.r:2:3', 'test-individual-readabs-steps.R:2:3', 'test-match_tables.R:9:3', 'test-read_abs_url.R:2:3', 'test-read_awe.R:19:3', 'test-read_job_mobility.R:2:3', 'test-read_lfs_grossflows.R:2:3', 'test-read_payrolls.R:2:3', 'test-readabs.R:6:3', 'test-readabs.R:19:3', 'test-readabs.R:38:3', 'test-readabs.R:50:3', 'test-readabs.R:63:3', 'test-readabs.R:83:3', 'test-readabs.R:96:3', 'test-readabs.R:109:3', 'test-readabs.R:118:3', 'test-readabs.R:152:3', 'test-readabs.R:162:3', 'test-readabs.R:169:3', 'test-search_catalogues.R:19:3', 'test-separate_series.R:7:3', 'test-separate_series.R:54:3', 'test-show_available_catalogues.r:15:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-read_erp.R:18:3'): tidy_erp() works with all permutations of parameters ── Error in `FUN(X[[i]], ...)`: cannot coerce type 'closure' to vector of type 'character' Backtrace: ▆ 1. └─readabs::read_abs("3101.0") at test-read_erp.R:18:3 2. └─base::stop("URL ", url, " does not appear to be valid.") 3. └─base::.makeMessage(..., domain = domain) 4. └─base::lapply(list(...), as.character) [ FAIL 1 | WARN 0 | SKIP 34 | PASS 80 ] Error: ! Test failures. Execution halted Package: rmdl Check: tests New result: ERROR Running ‘testthat.R’ [13s/14s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(rmdl) Loading required package: vctrs Loading required package: tibble Attaching package: 'tibble' The following object is masked from 'package:vctrs': data_frame Attaching package: 'rmdl' The following object is masked from 'package:testthat': describe > > test_check("rmdl") Interaction term `green` was applied to exposure term `witch` Interaction term `green` was applied to exposure term `witch` Interaction term `west` was applied to exposure term `witch` Using `fundamental` decomposition pattern: - Mediation term: NA - Stratifying term: NA Using `fundamental` decomposition pattern: - Mediation term: NA - Stratifying term: NA Interaction term `green` was applied to exposure term `witch` Saving _problems/test-terms-213.R [ FAIL 1 | WARN 0 | SKIP 4 | PASS 206 ] ══ Skipped tests (4) ═══════════════════════════════════════════════════════════ • Skipping (1): 'test-formulas.R:57:2' • empty test (3): 'test-interaction.R:41:1', 'test-model-table.R:272:1', 'test-patterns.R:36:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-terms.R:213:2'): interaction terms are appropriately made ────── Error in `expect(length(t), 5)`: `ok` must be `TRUE` or `FALSE`, not the number 5. Backtrace: ▆ 1. └─testthat::expect(ok = length(t)) at test-terms.R:213:9 2. └─testthat:::check_bool(ok) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 1 | WARN 0 | SKIP 4 | PASS 206 ] Error: ! Test failures. Execution halted Package: scrutiny Check: tests New result: ERROR Running ‘testthat.R’ [66s/66s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > > > library(testthat) > library(scrutiny) > > test_check("scrutiny") Saving _problems/test-decimal-places-130.R Saving _problems/test-seq-predicates-141.R [ FAIL 2 | WARN 0 | SKIP 0 | PASS 525 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-decimal-places.R:130:3'): `decimal_places_scalar()` conditions work as expected ── Error in `testthat::expect(act$is_na, msg_error)`: `failure_message` must be a character vector, not `NULL`. Backtrace: ▆ 1. ├─NA %>% decimal_places_scalar() %>% expect_na() at test-decimal-places.R:130:3 2. └─scrutiny:::expect_na(.) 3. └─testthat::expect(failure_message = msg_error) at ./helper-expectations.R:18:3 4. └─testthat:::check_character(failure_message) 5. └─testthat:::stop_input_type(...) 6. └─rlang::abort(message, ..., call = call, arg = arg) ── Error ('test-seq-predicates.R:141:3'): `is_seq_dispersed()` passes its special tests, returning `NA` ── Error in `testthat::expect(act$is_na, msg_error)`: `failure_message` must be a character vector, not `NULL`. Backtrace: ▆ 1. ├─... %>% expect_na() at test-seq-predicates.R:141:3 2. └─scrutiny:::expect_na(.) 3. └─testthat::expect(failure_message = msg_error) at ./helper-expectations.R:18:3 4. └─testthat:::check_character(failure_message) 5. └─testthat:::stop_input_type(...) 6. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 2 | WARN 0 | SKIP 0 | PASS 525 ] Error: ! Test failures. Execution halted Package: serocalculator Check: tests New result: ERROR Running ‘spelling.R’ [0s/0s] Running ‘testthat.R’ [23s/38s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(serocalculator) > > test_check("serocalculator", stop_on_warning = TRUE) Attaching package: 'magrittr' The following objects are masked from 'package:testthat': equals, is_less_than, not Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union Saving _problems/test-as_curve_params-33.R Proceeding to use "`Age`" Attaching package: 'tidyr' The following object is masked from 'package:magrittr': extract i Data has been stratified. i Here are the strata that will be analyzed: # A tibble: 2 x 3 Stratum catchment n 1 Stratum 1 aku 53 2 Stratum 2 kgh 47 starting new stratum: Stratum 1 # A tibble: 1 x 3 Stratum catchment n 1 Stratum 1 aku 53 nrow(curve_params) = 200 Initial negative log-likelihood: 271.620368416703 about to call `nlm()` iteration = 0 Step: [1] 0 Parameter: [1] -2.302585 Function Value [1] 271.6204 Gradient: [1] -12.19684 iteration = 1 Step: [1] 0.3 Parameter: [1] -2.002585 Function Value [1] 269.4844 Gradient: [1] -1.521341 iteration = 2 Step: [1] 0.0427523 Parameter: [1] -1.959833 Function Value [1] 269.4571 Gradient: [1] 0.2566987 iteration = 3 Step: [1] -0.006172225 Parameter: [1] -1.966005 Function Value [1] 269.4563 Gradient: [1] -0.003952892 iteration = 4 Parameter: [1] -1.965911 Function Value [1] 269.4563 Gradient: [1] -9.975515e-06 Relative gradient close to zero. Current iterate is probably solution. Elapsed time: user system elapsed 0.117 0.000 0.117 starting new stratum: Stratum 2 # A tibble: 1 x 3 Stratum catchment n 1 Stratum 2 kgh 47 nrow(curve_params) = 200 Initial negative log-likelihood: 261.759517614626 about to call `nlm()` iteration = 0 Step: [1] 0 Parameter: [1] -2.302585 Function Value [1] 261.7595 Gradient: [1] -23.7431 iteration = 1 Step: [1] 0.498822 Parameter: [1] -1.803763 Function Value [1] 253.5433 Gradient: [1] -7.990928 iteration = 2 Step: [1] 0.2530477 Parameter: [1] -1.550715 Function Value [1] 252.8398 Gradient: [1] 2.718074 iteration = 3 Step: [1] -0.06422655 Parameter: [1] -1.614942 Function Value [1] 252.7582 Gradient: [1] -0.161689 iteration = 4 Step: [1] 0.003606105 Parameter: [1] -1.611336 Function Value [1] 252.7579 Gradient: [1] -0.002816973 iteration = 5 Parameter: [1] -1.611272 Function Value [1] 252.7579 Gradient: [1] 3.069238e-06 Relative gradient close to zero. Current iterate is probably solution. Elapsed time: user system elapsed 0.126 0.000 0.126 i Elapsed time for loop over strata: user system elapsed 1.014 0.008 1.023 i Data has been stratified. i Here are the strata that will be analyzed: # A tibble: 2 x 3 Stratum catchment n 1 Stratum 1 aku 53 2 Stratum 2 kgh 47 Setting up parallel processing with `num_cores` = 2. i Elapsed time for parallelized code: user system elapsed 0.003 0.000 0.453 Attaching package: 'readr' The following objects are masked from 'package:testthat': edition_get, local_edition [ FAIL 1 | WARN 0 | SKIP 15 | PASS 33 ] ══ Skipped tests (15) ══════════════════════════════════════════════════════════ • On CRAN (15): 'test-ab0.R:1:1', 'test-as_noise_params.R:13:1', 'test-autoplot.pop_data.R:19:1', 'test-autoplot.pop_data.R:28:1', 'test-autoplot.pop_data.R:37:1', 'test-class_attributes.R:9:1', 'test-df_to_array.R:1:1', 'test-est.incidence.R:1:1', 'test-est.incidence.by.R:35:1', 'test-f_dev.R:1:1', 'test-log_likelihood.R:1:1', 'test-plot_curve_params_one_ab.R:1:1', 'test-stratify_data.R:1:1', 'test-summary.pop_data.R:12:1', 'test-summary.pop_data.R:16:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-as_curve_params.R:33:3'): `as_curve_params()` produces expected results ── Error in `test_data %>% ssdtools:::expect_snapshot_data(name = "curve-data")`: object 'expect_snapshot_data' not found Backtrace: ▆ 1. └─test_data %>% ssdtools:::expect_snapshot_data(name = "curve-data") at test-as_curve_params.R:33:3 [ FAIL 1 | WARN 0 | SKIP 15 | PASS 33 ] Deleting unused snapshots: 'as_curve_params/curve-data.csv' Error: ! Test failures. Execution halted Package: sf Check: tests New result: NOTE Running ‘aggregate.R’ [1s/1s] Comparing ‘aggregate.Rout’ to ‘aggregate.Rout.save’ ... OK Running ‘cast.R’ [1s/1s] Comparing ‘cast.Rout’ to ‘cast.Rout.save’ ... OK Running ‘crs.R’ [1s/1s] Comparing ‘crs.Rout’ to ‘crs.Rout.save’ ... OK Running ‘dist.R’ [1s/1s] Comparing ‘dist.Rout’ to ‘dist.Rout.save’ ... OK Running ‘dplyr.R’ [2s/2s] Comparing ‘dplyr.Rout’ to ‘dplyr.Rout.save’ ... OK Running ‘empty.R’ [1s/1s] Comparing ‘empty.Rout’ to ‘empty.Rout.save’ ... OK Running ‘full.R’ [1s/1s] Comparing ‘full.Rout’ to ‘full.Rout.save’ ... OK Running ‘gdal_geom.R’ [1s/1s] Comparing ‘gdal_geom.Rout’ to ‘gdal_geom.Rout.save’ ... OK Running ‘geos.R’ [14s/14s] Comparing ‘geos.Rout’ to ‘geos.Rout.save’ ... OK Running ‘graticule.R’ [2s/2s] Comparing ‘graticule.Rout’ to ‘graticule.Rout.save’ ... OK Running ‘grid.R’ [1s/1s] Comparing ‘grid.Rout’ to ‘grid.Rout.save’ ... OK Running ‘maps.R’ [1s/1s] Comparing ‘maps.Rout’ to ‘maps.Rout.save’ ... OK Running ‘plot.R’ [5s/5s] Comparing ‘plot.Rout’ to ‘plot.Rout.save’ ... OK Running ‘read.R’ [2s/2s] Comparing ‘read.Rout’ to ‘read.Rout.save’ ... OK Running ‘roundtrip.R’ [1s/1s] Comparing ‘roundtrip.Rout’ to ‘roundtrip.Rout.save’ ... OK Running ‘s2.R’ [1s/1s] Comparing ‘s2.Rout’ to ‘s2.Rout.save’ ... OK Running ‘sample.R’ [1s/1s] Comparing ‘sample.Rout’ to ‘sample.Rout.save’ ... OK Running ‘sfc.R’ [8s/8s] Comparing ‘sfc.Rout’ to ‘sfc.Rout.save’ ...547a548,551 > The following object is masked from 'package:testthat': > > matches > Running ‘sfg.R’ [1s/1s] Comparing ‘sfg.Rout’ to ‘sfg.Rout.save’ ... OK Running ‘spatstat.R’ [2s/2s] Comparing ‘spatstat.Rout’ to ‘spatstat.Rout.save’ ... OK Running ‘stars.R’ [2s/2s] Comparing ‘stars.Rout’ to ‘stars.Rout.save’ ... OK Running ‘testthat.R’ [11s/12s] Running ‘units.R’ [1s/1s] Comparing ‘units.Rout’ to ‘units.Rout.save’ ... OK Running ‘wkb.R’ [1s/1s] Comparing ‘wkb.Rout’ to ‘wkb.Rout.save’ ... OK Package: shiny.benchmark Check: tests New result: ERROR Running ‘testthat.R’ [4s/4s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(shiny.benchmark) > > test_check("shiny.benchmark") Saving _problems/test-load_example-9.R Saving _problems/test-load_example-52.R Saving _problems/test-load_example-74.R [ FAIL 3 | WARN 0 | SKIP 0 | PASS 7 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-load_example.R:9:5'): Load example creates correct structure ─── Error: `local_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `local_mocked_bindings()` instead. Backtrace: ▆ 1. └─base::eval(...) 2. └─base::eval(...) 3. └─testthat::local_mock(menu = function(...) stop("Opps, shouldn't reach this")) at test-load_example.R:9:5 4. └─lifecycle::deprecate_stop("3.2.0", "local_mock()", "local_mocked_bindings()") 5. └─lifecycle:::deprecate_stop0(msg) 6. └─rlang::cnd_signal(...) ── Error ('test-load_example.R:52:5'): Does not create load_examples on non-existing directory ── Error: `local_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `local_mocked_bindings()` instead. Backtrace: ▆ 1. └─base::eval(...) 2. └─base::eval(...) 3. └─testthat::local_mock(menu = function(...) stop("Opps, shouldn't reach this")) at test-load_example.R:52:5 4. └─lifecycle::deprecate_stop("3.2.0", "local_mock()", "local_mocked_bindings()") 5. └─lifecycle:::deprecate_stop0(msg) 6. └─rlang::cnd_signal(...) ── Error ('test-load_example.R:74:5'): Does not create load_examples if there is a file in directory ── Error: `local_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `local_mocked_bindings()` instead. Backtrace: ▆ 1. └─base::eval(...) 2. └─base::eval(...) 3. └─testthat::local_mock(menu = function(...) 2) at test-load_example.R:74:5 4. └─lifecycle::deprecate_stop("3.2.0", "local_mock()", "local_mocked_bindings()") 5. └─lifecycle:::deprecate_stop0(msg) 6. └─rlang::cnd_signal(...) [ FAIL 3 | WARN 0 | SKIP 0 | PASS 7 ] Error: ! Test failures. Execution halted Package: spatialsample Check: tests New result: ERROR Running ‘testthat.R’ [295s/150s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(spatialsample) > > sf::sf_extSoftVersion() GEOS GDAL proj.4 GDAL_with_GEOS USE_PROJ_H "3.14.1" "3.11.4" "9.7.0" "true" "true" PROJ "9.7.0" > > test_check("spatialsample") Starting 2 test processes. > test-buffer.R: Spherical geometry (s2) switched off > test-buffer.R: Spherical geometry (s2) switched on > test-autoplot.R: Only 4% of blocks contain any data > test-autoplot.R: i Check that your block sizes make sense for your data > test-compat-dplyr.R: > test-compat-dplyr.R: Attaching package: 'dplyr' > test-compat-dplyr.R: > test-compat-dplyr.R: The following objects are masked from 'package:stats': > test-compat-dplyr.R: > test-compat-dplyr.R: filter, lag > test-compat-dplyr.R: > test-compat-dplyr.R: The following objects are masked from 'package:base': > test-compat-dplyr.R: > test-compat-dplyr.R: intersect, setdiff, setequal, union > test-compat-dplyr.R: > test-spatial_block_cv.R: Spherical geometry (s2) switched off > test-spatial_block_cv.R: Spherical geometry (s2) switched on > test-spatial_nndm_cv.R: Linking to GEOS 3.14.1, GDAL 3.11.4, PROJ 9.7.0; sf_use_s2() is TRUE > test-spatial_vfold_cv.R: Spherical geometry (s2) switched off > test-spatial_vfold_cv.R: Spherical geometry (s2) switched on Saving _problems/test-spatial_vfold_cv-202.R [ FAIL 1 | WARN 0 | SKIP 26 | PASS 535 ] ══ Skipped tests (26) ══════════════════════════════════════════════════════════ • On CRAN (26): 'test-autoplot.R:33:3', 'test-autoplot.R:125:1', 'test-buffer.R:10:3', 'test-buffer.R:168:1', 'test-buffer.R:205:3', 'test-buffer.R:291:3', 'test-compat-vctrs.R:128:1', 'test-misc.R:1:1', 'test-misc.R:20:1', 'test-misc.R:31:1', 'test-spatial_clustering_cv.R:70:1', 'test-spatial_clustering_cv.R:110:1', 'test-spatial_clustering_cv.R:217:1', 'test-spatial_nndm_cv.R:13:1', 'test-spatial_nndm_cv.R:37:1', 'test-spatial_nndm_cv.R:76:1', 'test-spatial_nndm_cv.R:101:1', 'test-spatial_block_cv.R:10:1', 'test-spatial_block_cv.R:68:1', 'test-spatial_block_cv.R:225:1', 'test-spatial_block_cv.R:261:1', 'test-spatial_block_cv.R:321:1', 'test-spatial_vfold_cv.R:10:1', 'test-spatial_vfold_cv.R:24:1', 'test-spatial_vfold_cv.R:84:1', 'test-spatial_vfold_cv.R:225:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-spatial_vfold_cv.R:200:3'): bad args ─────────────────────────── Error in `rsample::vfold_cv(data = data, v = v, repeats = repeats, strata = { { strata } }, breaks = breaks, pool = pool, ...)`: Leave-one-out cross-validation is not supported by this function. x You set `v` to `nrow(data)`, which would result in a leave-one-out cross-validation. i Use `loo_cv()` in this case. Backtrace: ▆ 1. └─spatialsample::spatial_buffer_vfold_cv(...) 2. └─rsample::vfold_cv(...) 3. └─rsample:::vfold_splits(...) 4. └─rsample:::check_v(v, n, prevent_loo = prevent_loo, call = rlang::caller_env()) 5. └─cli::cli_abort(...) 6. └─rlang::abort(...) [ FAIL 1 | WARN 0 | SKIP 26 | PASS 535 ] Deleting unused snapshots: 'autoplot/buffered-llo-set-plot.svg', 'autoplot/buffered-llo-split-plot.svg', 'autoplot/buffered-rsample-plot.svg', 'autoplot/buffered-rset-plot.svg', 'autoplot/buffered-vfold-plot.svg', 'autoplot/buffered-vfold-split.svg', 'autoplot/repeated-block-cv.svg', 'autoplot/repeated-llo.svg', 'autoplot/repeated-vfold.svg', and 'autoplot/snake-flips-rows-the-right-way.svg' Error: ! Test failures. Execution halted Package: ssdtools Check: tests New result: ERROR Running ‘testthat.R’ [170s/170s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # Copyright 2015-2023 Province of British Columbia > # Copyright 2021 Environment and Climate Change Canada > # Copyright 2023-2024 Australian Government Department of Climate Change, > # Energy, the Environment and Water > # > # Licensed under the Apache License, Version 2.0 (the "License"); > # you may not use this file except in compliance with the License. > # You may obtain a copy of the License at > # > # https://www.apache.org/licenses/LICENSE-2.0 > # > # Unless required by applicable law or agreed to in writing, software > # distributed under the License is distributed on an "AS IS" BASIS, > # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. > # See the License for the specific language governing permissions and > # limitations under the License. > > library(testthat) > library(ssdtools) > > test_check("ssdtools") Saving _problems/test-exposure-46.R Saving _problems/test-hc-653.R [ FAIL 2 | WARN 0 | SKIP 214 | PASS 989 ] ══ Skipped tests (214) ═════════════════════════════════════════════════════════ • On CRAN (180): 'test-at-boundary.R:16:1', 'test-at-boundary.R:35:1', 'test-at-boundary.R:54:1', 'test-bcanz.R:28:1', 'test-bcanz.R:41:1', 'test-burrIII3.R:18:1', 'test-burrIII3.R:27:1', 'test-burrIII3.R:36:1', 'test-burrIII3.R:46:1', 'test-censor.R:43:1', 'test-censor.R:47:1', 'test-censor.R:51:1', 'test-censoring.R:1:1', 'test-censoring.R:26:1', 'test-censoring.R:50:1', 'test-ci-methods.R:1:1', 'test-coef.R:18:1', 'test-data.R:18:1', 'test-data.R:26:1', 'test-est-methods.R:1:1', 'test-estimates.R:18:1', 'test-estimates.R:26:1', 'test-exposure.R:18:1', 'test-exposure.R:26:1', 'test-exposure.R:34:1', 'test-exposure.R:50:1', 'test-fit.R:238:1', 'test-fit.R:265:1', 'test-fit.R:279:1', 'test-fit.R:290:1', 'test-fit.R:319:1', 'test-fit.R:347:1', 'test-fit.R:388:1', 'test-fit.R:394:1', 'test-fit.R:402:1', 'test-fit.R:411:1', 'test-gamma.R:17:1', 'test-glance.R:18:1', 'test-glance.R:28:1', 'test-glance.R:38:1', 'test-glance.R:79:1', 'test-gof.R:18:1', 'test-gof.R:28:1', 'test-gof.R:37:1', 'test-gof.R:46:1', 'test-gof.R:60:1', 'test-gof.R:74:1', 'test-gof.R:88:1', 'test-gompertz.R:18:1', 'test-hc-burrlioz.R:25:1', 'test-hc-burrlioz.R:33:1', 'test-hc-burrlioz.R:41:1', 'test-hc-burrlioz.R:65:1', 'test-hc-root.R:18:1', 'test-hc-root.R:30:1', 'test-hc.R:18:1', 'test-hc.R:26:1', 'test-hc.R:33:1', 'test-hc.R:42:1', 'test-hc.R:51:1', 'test-hc.R:160:1', 'test-hc.R:168:1', 'test-hc.R:176:1', 'test-hc.R:184:1', 'test-hc.R:192:1', 'test-hc.R:200:1', 'test-hc.R:210:1', 'test-hc.R:220:1', 'test-hc.R:227:1', 'test-hc.R:234:1', 'test-hc.R:246:1', 'test-hc.R:254:1', 'test-hc.R:262:1', 'test-hc.R:277:1', 'test-hc.R:285:1', 'test-hc.R:293:1', 'test-hc.R:314:1', 'test-hc.R:328:1', 'test-hc.R:343:1', 'test-hc.R:359:1', 'test-hc.R:415:1', 'test-hc.R:425:1', 'test-hc.R:461:1', 'test-hc.R:479:1', 'test-hc.R:492:1', 'test-hc.R:500:1', 'test-hc.R:512:1', 'test-hc.R:520:1', 'test-hc.R:532:1', 'test-hc.R:547:1', 'test-hc.R:574:1', 'test-hc.R:592:1', 'test-hc.R:620:1', 'test-hc.R:657:1', 'test-hc.R:679:1', 'test-hc.R:693:1', 'test-hc.R:739:1', 'test-hc.R:767:1', 'test-hc.R:849:1', 'test-hp-burrlioz.R:18:1', 'test-hp-burrlioz.R:26:1', 'test-hp-burrlioz.R:34:1', 'test-hp-burrlioz.R:58:1', 'test-hp-root.R:18:1', 'test-hp-root.R:37:1', 'test-hp-root.R:52:1', 'test-hp.R:18:1', 'test-hp.R:27:1', 'test-hp.R:52:1', 'test-hp.R:60:1', 'test-hp.R:68:1', 'test-hp.R:76:1', 'test-hp.R:84:1', 'test-hp.R:92:1', 'test-hp.R:100:1', 'test-hp.R:108:1', 'test-hp.R:118:1', 'test-hp.R:126:1', 'test-hp.R:146:1', 'test-hp.R:160:1', 'test-hp.R:172:1', 'test-hp.R:179:1', 'test-hp.R:194:1', 'test-hp.R:202:1', 'test-hp.R:239:1', 'test-hp.R:249:1', 'test-hp.R:285:1', 'test-hp.R:303:1', 'test-hp.R:318:1', 'test-hp.R:326:1', 'test-hp.R:361:1', 'test-invpareto.R:18:1', 'test-invpareto.R:27:1', 'test-invpareto.R:34:1', 'test-invpareto.R:43:1', 'test-invpareto.R:52:1', 'test-invpareto.R:64:1', 'test-invpareto.R:73:1', 'test-invpareto.R:82:1', 'test-invpareto.R:91:1', 'test-lgumbel.R:18:1', 'test-llogis-llogis.R:22:1', 'test-llogis.R:18:1', 'test-lnorm-lnorm.R:18:1', 'test-lnorm-lnorm.R:51:1', 'test-lnorm-lnorm.R:58:1', 'test-lnorm.R:18:1', 'test-multi.R:18:1', 'test-multi.R:46:1', 'test-multi.R:62:1', 'test-multi.R:81:1', 'test-multi.R:97:1', 'test-multi.R:116:1', 'test-multi.R:136:1', 'test-multi.R:158:1', 'test-operators.R:1:1', 'test-operators.R:16:1', 'test-operators.R:28:1', 'test-predict.R:18:1', 'test-predict.R:26:1', 'test-predict.R:36:1', 'test-predict.R:46:1', 'test-predict.R:58:1', 'test-print.R:18:1', 'test-print.R:23:1', 'test-print.R:28:1', 'test-print.R:37:1', 'test-print.R:46:1', 'test-print.R:55:1', 'test-schwarz-tillmans.R:18:1', 'test-summary.R:18:1', 'test-tidy.R:18:1', 'test-utils.R:36:1', 'test-weibull.R:18:1', 'test-weibull.R:27:1', 'test-weibull.R:36:1', 'test-weibull.R:44:1', 'test-weibull.R:52:1', 'test-weighted.R:44:1', 'test-weighted.R:79:1' • On Linux (34): 'test-autoplot.R:20:3', 'test-autoplot.R:25:3', 'test-autoplot.R:33:3', 'test-autoplot.R:42:3', 'test-ggplot.R:59:3', 'test-ggplot.R:67:3', 'test-ggplot.R:73:3', 'test-ggplot.R:84:3', 'test-ggplot.R:90:3', 'test-ggplot.R:96:3', 'test-ggplot.R:102:3', 'test-ggplot.R:110:3', 'test-ggplot.R:118:3', 'test-match-moments.R:24:3', 'test-plot-cdf.R:21:3', 'test-plot-cdf.R:28:3', 'test-plot-cdf.R:32:3', 'test-plot-cdf.R:46:3', 'test-plot-cdf.R:54:3', 'test-plot-data.R:19:3', 'test-plot-data.R:23:3', 'test-plot-data.R:32:3', 'test-ssd-plot.R:19:3', 'test-ssd-plot.R:29:3', 'test-ssd-plot.R:35:3', 'test-ssd-plot.R:40:3', 'test-ssd-plot.R:50:3', 'test-ssd-plot.R:66:3', 'test-ssd-plot.R:73:3', 'test-ssd-plot.R:77:3', 'test-ssd-plot.R:81:3', 'test-ssd-plot.R:85:3', 'test-ssd-plot.R:89:3', 'test-ssd-plot.R:93:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-exposure.R:46:5'): exposure multiple distributions ───────────── Error in `expect_snapshot_value(ssd_exposure(fits, nboot = 100), 0.0663472624824284, style = "deparse")`: `cran` must be `TRUE` or `FALSE`, not the number 0.07. Backtrace: ▆ 1. ├─withr::with_seed(...) at test-exposure.R:45:3 2. │ └─withr::with_preserve_seed(...) 3. └─testthat::expect_snapshot_value(cran = 0.0663472624824284) at test-exposure.R:46:5 4. └─testthat:::check_bool(cran) 5. └─testthat:::stop_input_type(...) 6. └─rlang::abort(message, ..., call = call, arg = arg) ── Error ('test-hc.R:653:3'): ssd_hc save_to lnorm 1 ─────────────────────────── Error in `expect_snapshot_value(hc$lcl, est, style = "deparse")`: `cran` must be `TRUE` or `FALSE`, not the number 1.29. Backtrace: ▆ 1. └─testthat::expect_snapshot_value(cran = est) at test-hc.R:653:3 2. └─testthat:::check_bool(cran) 3. └─testthat:::stop_input_type(...) 4. └─rlang::abort(message, ..., call = call, arg = arg) [ FAIL 2 | WARN 0 | SKIP 214 | PASS 989 ] Deleting unused snapshots: 'autoplot/autoplot.png', 'autoplot/autoplot_bigmark.png', 'autoplot/autoplot_new.png', 'autoplot/autoplot_rescale.png', 'autoplot/suffix.png', 'ggplot/geom_hcintersect.png', 'ggplot/geom_hcintersect_aes.png', 'ggplot/geom_ssdpoint.png', 'ggplot/geom_ssdpoint_identity.png', 'ggplot/geom_ssdsegment.png', 'ggplot/geom_ssdsegment_arrow.png', 'ggplot/geom_ssdsegment_identity.png', 'ggplot/geom_ssdsegment_nodata.png', 'ggplot/geom_xribbon.png', 'match-moments/cdf.png', 'plot-cdf/fits.png', 'plot-cdf/fits_average.png', 'plot-cdf/fits_average_na.png', …, 'ssd-plot/ribbon.png', and 'ssd-plot/suffix.png' Error: ! Test failures. Execution halted Package: texreg Check: tests New result: ERROR Running ‘testthat.R’ [6s/6s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library("testthat") > library("texreg") Version: 1.39.4 Date: 2024-07-23 Author: Philip Leifeld (University of Manchester) Consider submitting praise using the praise or praise_interactive functions. Please cite the JSS article in your publications -- see citation("texreg"). > > test_check("texreg") Saving _problems/test-huxtablereg-15.R Saving _problems/test-texreg-323.R [ FAIL 2 | WARN 1 | SKIP 33 | PASS 201 ] ══ Skipped tests (33) ══════════════════════════════════════════════════════════ • On CRAN (32): 'test-extract.R:6:3', 'test-extract.R:28:3', 'test-extract.R:67:3', 'test-extract.R:90:3', 'test-extract.R:162:3', 'test-extract.R:193:3', 'test-extract.R:214:3', 'test-extract.R:239:3', 'test-extract.R:280:3', 'test-extract.R:305:3', 'test-extract.R:328:3', 'test-extract.R:367:3', 'test-extract.R:415:3', 'test-extract.R:441:3', 'test-extract.R:467:3', 'test-extract.R:501:3', 'test-extract.R:543:3', 'test-extract.R:591:3', 'test-extract.R:615:3', 'test-extract.R:651:3', 'test-extract.R:738:3', 'test-extract.R:761:3', 'test-extract.R:795:3', 'test-extract.R:824:3', 'test-extract.R:859:3', 'test-extract.R:926:3', 'test-extract.R:979:3', 'test-extract.R:1001:3', 'test-extract.R:1030:3', 'test-extract.R:1054:3', 'test-extract.R:1086:3', 'test-extract.R:1178:3' • {biglm} is not installed (1): 'test-plotreg.R:39:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-huxtablereg.R:13:3'): huxtablereg gives useful error message if huxtable not installed ── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test-huxtablereg.R:13:3 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) ── Error ('test-texreg.R:319:3'): knitreg function works ─────────────────────── Error: `with_mock()` was deprecated in testthat 3.2.0 and is now defunct. ℹ Please use `with_mocked_bindings()` instead. Backtrace: ▆ 1. └─testthat::with_mock(...) at test-texreg.R:319:3 2. └─lifecycle::deprecate_stop("3.2.0", "with_mock()", "with_mocked_bindings()") 3. └─lifecycle:::deprecate_stop0(msg) 4. └─rlang::cnd_signal(...) [ FAIL 2 | WARN 1 | SKIP 33 | PASS 201 ] Error: ! Test failures. Execution halted