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Type 'q()' to quit R. > # 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(ameras) Loading required package: nimble nimble version 1.4.2 is loaded. For more information on NIMBLE and a User Manual, please visit https://R-nimble.org. Attaching package: 'nimble' The following object is masked from 'package:stats': simulate The following object is masked from 'package:base': declare > > test_check("ameras") Fitting RC Fitting RC Obtaining profile likelihood CI for dose Obtaining profile likelihood CI for dose_squared RC confidence intervals: lower upper dose NA 0.4819 dose_squared 0.1248 0.3885 RC confidence intervals: lower upper (Intercept) -8.629e-01 -0.5284 dose 4.895e-07 2623.6136 dose_squared 1.560e-01 0.4747 Fitting RC RC confidence intervals: lower upper (Intercept) -1.2902 -0.9525 X1 0.2883 0.5867 dose 0.5512 1.1071 Fitting RC RC confidence intervals: lower upper (Intercept) -1.1184 -0.7426 X1 0.2925 0.5926 dose -0.3738 0.4450 dose_squared 0.1282 0.4395 Fitting RC RC confidence intervals: lower upper (Intercept) -1.1746 -0.9004 X1 0.2928 0.5927 dose 0.3616 0.5215 Fitting RC RC confidence intervals: lower upper (Intercept) -1.16297 -0.83899 X1 0.29249 0.59237 dose 0.15999 0.56649 dose_squared -0.03157 0.07624 Fitting RC RC confidence intervals: lower upper (Intercept) -1.15388 -0.8246 X1 0.29246 0.5924 dose_linear 0.08453 0.5362 dose_exponential 0.13782 0.5667 Fitting FMA FMA confidence intervals: lower upper (Intercept) -0.87199 -0.59601 dose 0.09002 0.50119 dose_squared -0.01636 0.09462 Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC Fitting RC RC confidence intervals: lower upper dose 0.44207 0.831795 dose_squared -0.09016 -0.003744 Fitting FMA FMA confidence intervals: lower upper dose 0.46041 0.86356 dose_squared -0.09929 -0.01171 Fitting RC RC confidence intervals: lower upper (Intercept) -0.9291 -0.7902 dose 0.3178 0.5070 dose_squared 0.1702 0.2146 sigma 1.0729 1.1286 Fitting ERC ERC confidence intervals: lower upper (Intercept) -0.9270 -0.7882 dose 0.3128 0.5019 dose_squared 0.1715 0.2160 sigma 1.0721 1.1277 Fitting MCML MCML confidence intervals: lower upper (Intercept) -0.9352 -0.7913 dose 0.3904 0.5856 dose_squared 0.1261 0.1704 sigma 1.1219 1.1802 Fitting FMA 8 realization(s) excluded due to negligible model averaging weight (weight < 5e-06 corresponding to 0 samples for MFMA=1e+05). FMA confidence intervals: lower upper (Intercept) -0.9365 -0.7911 dose 0.3903 0.5940 dose_squared 0.1183 0.1707 sigma 1.1219 1.1803 Fitting RC Fitting FMA Fitting RC Fitting RC Fitting RC Fitting RC RC confidence intervals: lower upper (1)_(Intercept) -1.05101 -0.69405 (1)_dose 0.28794 0.80052 (1)_dose_squared -0.09643 0.03373 (2)_(Intercept) -0.25539 0.03666 (2)_dose 0.35370 0.79901 (2)_dose_squared -0.10079 0.01751 Fitting FMA FMA confidence intervals: lower upper (1)_(Intercept) -1.03623 -0.686453 (1)_dose 0.28329 0.782563 (1)_dose_squared -0.09105 0.031408 (2)_(Intercept) -0.24704 0.039526 (2)_dose 0.36977 0.793583 (2)_dose_squared -0.09809 0.008267 Fitting RC RC confidence intervals: lower upper (Intercept) -0.96439 -0.80464 dose 0.54247 0.69851 dose_squared -0.05454 -0.02564 Fitting FMA 2 realization(s) excluded due to negligible model averaging weight (weight < 5e-06 corresponding to 0 samples for MFMA=1e+05). FMA confidence intervals: lower upper (Intercept) -0.93764 -0.78034 dose 0.52798 0.68502 dose_squared -0.05628 -0.02592 Fitting RC RC confidence intervals: lower upper dose 0.40549 7.471e-01 dose_squared -0.06804 5.409e-05 Fitting FMA FMA confidence intervals: lower upper dose 0.4272 0.73862 dose_squared -0.0683 -0.01031 [ FAIL 0 | WARN 0 | SKIP 48 | PASS 818 ] ══ Skipped tests (48) ══════════════════════════════════════════════════════════ • On CRAN (48): 'test-CI.R:52:3', 'test-CI.R:54:7', 'test-CI.R:54:7', 'test-CI.R:115:5', 'test-CI.R:115:5', 'test-binomial.R:15:3', 'test-binomial.R:15:3', 'test-binomial.R:15:3', 'test-binomial.R:15:3', 'test-binomial.R:15:3', 'test-binomial.R:42:7', 'test-binomial.R:42:7', 'test-binomial.R:40:3', 'test-binomial.R:42:7', 'test-bma-one-chain.R:22:3', 'test-bma-one-chain.R:109:3', 'test-clogit.R:117:3', 'test-clogit.R:119:7', 'test-clogit.R:119:7', 'test-clogit.R:117:3', 'test-clogit.R:119:7', 'test-clogit.R:148:3', 'test-fma-future.R:20:3', 'test-fma-future.R:41:3', 'test-fma-future.R:79:3', 'test-gaussian.R:8:3', 'test-gaussian.R:8:3', 'test-gaussian.R:8:3', 'test-gaussian.R:8:3', 'test-gaussian.R:10:7', 'test-modifier-formulas.R:420:3', 'test-modifier-formulas.R:455:3', 'test-multinomial.R:8:3', 'test-multinomial.R:10:7', 'test-multinomial.R:10:7', 'test-multinomial.R:8:3', 'test-multinomial.R:10:7', 'test-poisson.R:8:3', 'test-poisson.R:10:7', 'test-poisson.R:10:7', 'test-poisson.R:8:3', 'test-poisson.R:10:7', 'test-prophaz.R:79:3', 'test-prophaz.R:81:7', 'test-prophaz.R:81:7', 'test-prophaz.R:79:3', 'test-prophaz.R:81:7', 'test-prophaz.R:110:3' [ FAIL 0 | WARN 0 | SKIP 48 | PASS 818 ] > > proc.time() user system elapsed 707.82 868.03 1603.14