* using log directory ‘/srv/hornik/tmp/CRAN_pretest/difNLR.Rcheck’ * using R Under development (unstable) (2025-03-02 r87868) * using platform: x86_64-pc-linux-gnu * R was compiled by Debian clang version 19.1.7 (1+b1) Debian flang-new version 19.1.7 (1+b1) * running under: Debian GNU/Linux trixie/sid * using session charset: UTF-8 * checking for file ‘difNLR/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘difNLR’ version ‘1.5.1’ * package encoding: UTF-8 * checking CRAN incoming feasibility ... [4s/8s] OK * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package ‘difNLR’ can be installed ... [7s/7s] OK * checking package directory ... OK * checking for future file timestamps ... OK * checking DESCRIPTION meta-information ... NOTE Missing dependency on R >= 4.1.0 because package code uses the pipe |> or function shorthand \(...) syntax added in R 4.1.0. File(s) using such syntax: ‘private.R’ * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... [1s/1s] OK * checking whether the package can be loaded with stated dependencies ... [1s/1s] OK * checking whether the package can be unloaded cleanly ... [1s/1s] OK * checking whether the namespace can be loaded with stated dependencies ... [1s/1s] OK * checking whether the namespace can be unloaded cleanly ... [1s/1s] OK * checking loading without being on the library search path ... [1s/1s] OK * checking use of S3 registration ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... [14s/14s] OK * checking Rd files ... [0s/0s] OK * checking Rd metadata ... OK * checking Rd line widths ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of ‘data’ directory ... OK * checking data for non-ASCII characters ... [0s/0s] OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking examples ... [8s/8s] OK * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... [26s/26s] ERROR Running ‘testthat.R’ [26s/26s] 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") The recalculation of starting values was successful. [ FAIL 14 | WARN 0 | SKIP 0 | PASS 33 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-difNLR.R:33:3'): fit 3PL model on generated data ───────────── `fit1` (`actual`) not equal to `fit1_gen` (`expected`). actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] -1.919268852 - -1.919268809 [1] [2] 1.483505553 - 1.483505528 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.048786387 - 0.048786382 [9] [10] 1.000000000 | 1.000000000 [10] actual$nlrPAR[[5]] | expected$nlrPAR[[5]] [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] 0.8620892 - 0.8620825 [8] actual$nlrPAR[[6]] | expected$nlrPAR[[6]] [1] 0.767939349 - 0.767939292 [1] [2] 1.457691842 - 1.457691801 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[6]][7:10]`: 0.000000000 0.000000000 0.000000000 0.953766881 `expected$nlrPAR[[6]][7:10]`: 0.000000000 0.000000000 0.000000000 0.953766893 actual$nlrPAR[[7]] | expected$nlrPAR[[7]] [1] -1.23626545 - -1.23626580 [1] [2] 0.88804637 - 0.88804690 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.63552981 - -1.63554150 [1] [2] 1.16247959 - 1.16247138 [2] [3] -0.85442816 - -0.85441048 [3] [4] -0.11668125 - -0.11667586 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00676850 - 0.00676812 [6] [7] 0.86559096 - 0.86560000 [7] [8] 1.00000000 | 1.00000000 [8] `actual$nlrPAR[[9]][1:5]`: 1.9819501 1.4818425 0.0000000 0.0000000 0.0000000 `expected$nlrPAR[[9]][1:5]`: 1.9819175 1.4818210 0.0000000 0.0000000 0.0000000 `actual$nlrPAR[[9]][7:10]`: 0.0000000 0.0000000 0.0000000 0.9277421 `expected$nlrPAR[[9]][7:10]`: 0.0000000 0.0000000 0.0000000 0.9277447 actual$nlrPAR[[11]] | expected$nlrPAR[[11]] [1] 1.100010144 - 1.100010487 [1] [2] 1.071118317 - 1.071118399 [2] [3] 2.324115082 - 2.324099309 [3] [4] 1.172861810 - 1.172854836 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.969003950 - 0.969003883 [7] [8] 0.979570183 - 0.979570806 [8] actual$nlrPAR[[12]] | expected$nlrPAR[[12]] [1] -1.63955438 - -1.63955296 [1] [2] 1.05071702 - 1.05071630 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrPAR[[12]] | expected$nlrPAR[[12]] [6] 0.00000000 | 0.00000000 [6] [7] 0.00000000 | 0.00000000 [7] [8] 0.00000000 | 0.00000000 [8] [9] 0.07960367 - 0.07960350 [9] [10] 1.00000000 | 1.00000000 [10] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] -1.359766982 - -1.359767080 [1] [2] 1.008622179 - 1.008622224 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.084488301 - 0.084488316 [9] [10] 1.000000000 | 1.000000000 [10] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -1.81408679 - -1.81408981 [1] [2] 1.09344011 - 1.09344166 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [6] 0.00000000 | 0.00000000 [6] [7] 0.00000000 | 0.00000000 [7] [8] 0.00000000 | 0.00000000 [8] [9] 0.14095464 - 0.14095493 [9] [10] 1.00000000 | 1.00000000 [10] actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.4947744 - 0.4947587 [1] [2] 0.8750659 - 0.8750560 [2] [3] -0.2604767 - -0.2604823 [3] [4] 0.2049815 - 0.2049770 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9448528 - 0.9448575 [7] [8] 0.8023910 - 0.8023968 [8] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.306678421 - 0.306678419 [1] [2] 0.384450287 - 0.384450339 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrSE[[1]] | expected$nlrSE[[1]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.036074442 - 0.036074445 [9] [10] 0.187373486 - 0.187373509 [10] actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 0.54915540 - 0.54916309 [1] [2] 0.84406770 - 0.84407406 [2] [3] 0.65457360 - 0.65457970 [3] [4] 1.04476946 - 1.04477916 [4] [5] 0.30726339 - 0.30725777 [5] [6] 0.15671688 - 0.15671017 [6] [7] 0.04447330 - 0.04447248 [7] [8] 0.08169499 - 0.08169150 [8] actual$nlrSE[[6]] | expected$nlrSE[[6]] [1] 0.244309189 - 0.244309199 [1] [2] 0.402094872 - 0.402094890 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrSE[[6]] | expected$nlrSE[[6]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.146861977 - 0.146861982 [9] [10] 0.059566415 - 0.059566424 [10] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.42785780 - 0.42785740 [1] [2] 0.49197774 - 0.49197745 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [6] 0.00000000 | 0.00000000 [6] [7] 0.00000000 | 0.00000000 [7] [8] 0.00000000 | 0.00000000 [8] [9] 0.10650364 - 0.10650350 [9] [10] 0.48019617 - 0.48019549 [10] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.46605986 - 0.46606108 [1] [2] 0.59512319 - 0.59512240 [2] [3] 0.96379650 - 0.96379959 [3] [4] 0.94805913 - 0.94805937 [4] [5] 0.07087731 - 0.07087774 [5] [6] 0.05783175 - 0.05783210 [6] [7] 0.38583669 - 0.38584847 [7] [8] 1.16467139 - 1.16467619 [8] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.36596727 - 0.36596807 [1] [2] 0.53880414 - 0.53880148 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrSE[[9]] | expected$nlrSE[[9]] [6] 0.00000000 | 0.00000000 [6] [7] 0.00000000 | 0.00000000 [7] [8] 0.00000000 | 0.00000000 [8] [9] 0.35994964 - 0.35995458 [9] [10] 0.03944259 - 0.03944350 [10] actual$nlrSE[[11]] | expected$nlrSE[[11]] [1] 0.534150761 - 0.534150791 [1] [2] 0.648113915 - 0.648113962 [2] [3] 0.867075677 - 0.867071913 [3] [4] 1.082312041 - 1.082308858 [4] [5] 0.521548300 - 0.521548354 [5] [6] 0.403775027 - 0.403774360 [6] [7] 0.105250889 - 0.105250858 [7] [8] 0.029672848 - 0.029672943 [8] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.437683871 - 0.437683975 [1] [2] 0.518101638 - 0.518101581 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrSE[[12]] | expected$nlrSE[[12]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.069033171 - 0.069033277 [9] [10] 0.438139683 - 0.438139948 [10] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.426919525 - 0.426919518 [1] [2] 0.521107931 - 0.521107889 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrSE[[13]] | expected$nlrSE[[13]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.085772962 - 0.085772946 [9] [10] 0.399392015 - 0.399391982 [10] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.503724206 - 0.503724008 [1] [2] 0.591103588 - 0.591103524 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrSE[[14]] | expected$nlrSE[[14]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.063854830 - 0.063854624 [9] [10] 0.477404262 - 0.477403468 [10] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.7281699 - 0.7281753 [1] [2] 0.8488077 - 0.8488101 [2] [3] 0.9085928 - 0.9085989 [3] [4] 1.1464332 - 1.1464343 [4] [5] 0.6082345 - 0.6082423 [5] [6] 0.2794160 - 0.2794195 [6] [7] 0.2471840 - 0.2471916 [7] [8] 0.1775734 - 0.1775796 [8] `actual$parM0$Item1`: -1.919268852 1.483505553 0.048786387 1.000000000 `expected$parM0$Item1`: -1.919268809 1.483505528 0.048786382 1.000000000 `actual$parM0$Item5`: 1.232878141 1.514612611 0.000000000 0.871219470 `expected$parM0$Item5`: 1.232877680 1.514612442 0.000000000 0.871219535 `actual$parM0$Item6`: 0.767939349 1.457691842 0.000000000 0.953766881 `expected$parM0$Item6`: 0.767939292 1.457691801 0.000000000 0.953766893 `actual$parM0$Item7`: -1.23626545 0.88804637 0.00000000 1.00000000 `expected$parM0$Item7`: -1.23626580 0.88804690 0.00000000 1.00000000 `actual$parM0$Item8`: -2.04224668 1.00313832 0.00000000 1.00000000 `expected$parM0$Item8`: -2.04224686 1.00313853 0.00000000 1.00000000 `actual$parM0$Item9`: 1.9819501 1.4818425 0.0000000 0.9277421 `expected$parM0$Item9`: 1.9819175 1.4818210 0.0000000 0.9277447 `actual$parM0$Item11`: 2.071246156 1.476717870 0.000000000 0.947760051 `expected$parM0$Item11`: 2.071244548 1.476716024 0.000000000 0.947760133 `actual$parM0$Item12`: -1.63955438 1.05071702 0.07960367 1.00000000 `expected$parM0$Item12`: -1.63955296 1.05071630 0.07960350 1.00000000 `actual$parM0$Item13`: -1.359766982 1.008622179 0.084488301 1.000000000 `expected$parM0$Item13`: -1.359767080 1.008622224 0.084488316 1.000000000 `actual$parM0$Item14`: -1.81408679 1.09344011 0.14095464 1.00000000 `expected$parM0$Item14`: -1.81408981 1.09344166 0.14095493 1.00000000 `actual$parM0$Item15`: 0.409635301 0.994839602 0.000000000 0.865280941 `expected$parM0$Item15`: 0.409634989 0.994839800 0.000000000 0.865281015 `actual$seM0$Item1`: 0.306678421 0.384450287 0.036074442 0.187373486 `expected$seM0$Item1`: 0.306678419 0.384450339 0.036074445 0.187373509 `actual$seM0$Item5`: 0.304514975 0.493226339 0.194402286 0.051007357 `expected$seM0$Item5`: 0.304514933 0.493226262 0.194402274 0.051007369 `actual$seM0$Item6`: 0.244309189 0.402094872 0.146861977 0.059566415 `expected$seM0$Item6`: 0.244309199 0.402094890 0.146861982 0.059566424 `actual$seM0$Item7`: 0.42785780 0.49197774 0.10650364 0.48019617 `expected$seM0$Item7`: 0.42785740 0.49197745 0.10650350 0.48019549 `actual$seM0$Item8`: 0.467445670 0.465413142 0.052095431 0.612798580 `expected$seM0$Item8`: 0.467445473 0.465413059 0.052095410 0.612798273 `actual$seM0$Item9`: 0.36596727 0.53880414 0.35994964 0.03944259 `expected$seM0$Item9`: 0.36596807 0.53880148 0.35995458 0.03944350 `actual$seM0$Item11`: 0.363926478 0.526273514 0.382432069 0.037293680 `expected$seM0$Item11`: 0.363926904 0.526273633 0.382433014 0.037293744 `actual$seM0$Item12`: 0.437683871 0.518101638 0.069033171 0.438139683 `expected$seM0$Item12`: 0.437683975 0.518101581 0.069033277 0.438139948 `actual$seM0$Item13`: 0.426919525 0.521107931 0.085772962 0.399392015 `expected$seM0$Item13`: 0.426919518 0.521107889 0.085772946 0.399391982 `actual$seM0$Item14`: 0.503724206 0.591103588 0.063854830 0.477404262 `expected$seM0$Item14`: 0.503724008 0.591103524 0.063854624 0.477403468 `actual$seM0$Item15`: 0.429218673 0.565195422 0.284899677 0.138812073 `expected$seM0$Item15`: 0.429218501 0.565195232 0.284899461 0.138812042 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] [,4] - actual$covM0$Item1[1, ] 0.0940516536 -0.06062457 -0.008213435 0.0005695570 + expected$covM0$Item1[1, ] 0.0940516524 -0.06062458 -0.008213436 0.0005695592 - actual$covM0$Item1[2, ] -0.0606245691 0.14780202 0.011029920 -0.0600486747 + expected$covM0$Item1[2, ] -0.0606245756 0.14780206 0.011029924 -0.0600486926 - actual$covM0$Item1[3, ] -0.0082134354 0.01102992 0.001301365 -0.0036034232 + expected$covM0$Item1[3, ] -0.0082134359 0.01102992 0.001301366 -0.0036034245 - actual$covM0$Item1[4, ] 0.0005695570 -0.06004867 -0.003603423 0.0351088232 + expected$covM0$Item1[4, ] 0.0005695592 -0.06004869 -0.003603425 0.0351088318 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.092729370 0.02218341 -0.018079145 -0.008216770 + expected$covM0$Item5[1, ] 0.092729344 0.02218336 -0.018079156 -0.008216768 - actual$covM0$Item5[2, ] 0.022183413 0.24327222 0.083423481 -0.019990230 + expected$covM0$Item5[2, ] 0.022183362 0.24327215 0.083423465 -0.019990232 - actual$covM0$Item5[3, ] -0.018079145 0.08342348 0.037792249 -0.005582864 + expected$covM0$Item5[3, ] -0.018079156 0.08342347 0.037792244 -0.005582865 - actual$covM0$Item5[4, ] -0.008216770 -0.01999023 -0.005582864 0.002601750 + expected$covM0$Item5[4, ] -0.008216768 -0.01999023 -0.005582865 0.002601752 actual$covM0$Item6 vs expected$covM0$Item6 [,1] [,2] [,3] [,4] - actual$covM0$Item6[1, ] 0.059686980 0.003842519 -0.014247831 -0.006666568 + expected$covM0$Item6[1, ] 0.059686985 0.003842527 -0.014247830 -0.006666570 - actual$covM0$Item6[2, ] 0.003842519 0.161680286 0.051246077 -0.019386338 + expected$covM0$Item6[2, ] 0.003842527 0.161680300 0.051246081 -0.019386343 - actual$covM0$Item6[3, ] -0.014247831 0.051246077 0.021568440 -0.005019625 + expected$covM0$Item6[3, ] -0.014247830 0.051246081 0.021568442 -0.005019627 - actual$covM0$Item6[4, ] -0.006666568 -0.019386338 -0.005019625 0.003548158 + expected$covM0$Item6[4, ] -0.006666570 -0.019386343 -0.005019627 0.003548159 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] [,4] - actual$covM0$Item7[1, ] 0.183062296 0.03715680 -0.006749282 -0.10684805 + expected$covM0$Item7[1, ] 0.183061953 0.03715657 -0.006749311 -0.10684767 - actual$covM0$Item7[2, ] 0.037156804 0.24204210 0.048253133 -0.21805732 + expected$covM0$Item7[2, ] 0.037156566 0.24204181 0.048253035 -0.21805685 - actual$covM0$Item7[3, ] -0.006749282 0.04825313 0.011343025 -0.03869598 + expected$covM0$Item7[3, ] -0.006749311 0.04825303 0.011342995 -0.03869586 - actual$covM0$Item7[4, ] -0.106848045 -0.21805732 -0.038695983 0.23058837 + expected$covM0$Item7[4, ] -0.106847672 -0.21805685 -0.038695864 0.23058771 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] [,4] - actual$covM0$Item8[1, ] 0.218505454 0.06208626 -0.001320037 -0.18111318 + expected$covM0$Item8[1, ] 0.218505270 0.06208614 -0.001320047 -0.18111294 - actual$covM0$Item8[2, ] 0.062086262 0.21660939 0.021651508 -0.26088664 + expected$covM0$Item8[2, ] 0.062086137 0.21660932 0.021651495 -0.26088645 - actual$covM0$Item8[3, ] -0.001320037 0.02165151 0.002713934 -0.02284838 + expected$covM0$Item8[3, ] -0.001320047 0.02165149 0.002713932 -0.02284835 - actual$covM0$Item8[4, ] -0.181113184 -0.26088664 -0.022848376 0.37552210 + expected$covM0$Item8[4, ] -0.181112935 -0.26088645 -0.022848354 0.37552172 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] - actual$covM0$Item9[1, ] 0.133932046 0.009809339 -0.049576389 -0.006149387 + expected$covM0$Item9[1, ] 0.133932631 0.009803413 -0.049580436 -0.006149203 - actual$covM0$Item9[2, ] 0.009809339 0.290309899 0.173148946 -0.016907163 + expected$covM0$Item9[2, ] 0.009803413 0.290307040 0.173150779 -0.016907567 - actual$covM0$Item9[3, ] -0.049576389 0.173148946 0.129563743 -0.008359778 + expected$covM0$Item9[3, ] -0.049580436 0.173150779 0.129567298 -0.008360168 - actual$covM0$Item9[4, ] -0.006149387 -0.016907163 -0.008359778 0.001555718 + expected$covM0$Item9[4, ] -0.006149203 -0.016907567 -0.008360168 0.001555790 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] [,4] - actual$covM0$Item11[1, ] 0.132442481 0.002754336 -0.056383563 -0.005360472 + expected$covM0$Item11[1, ] 0.132442791 0.002753742 -0.056384124 -0.005360453 - actual$covM0$Item11[2, ] 0.002754336 0.276963812 0.180266093 -0.015622068 + expected$covM0$Item11[2, ] 0.002753742 0.276963937 0.180266613 -0.015622106 - actual$covM0$Item11[3, ] -0.056383563 0.180266093 0.146254287 -0.008448745 + expected$covM0$Item11[3, ] -0.056384124 0.180266613 0.146255011 -0.008448788 - actual$covM0$Item11[4, ] -0.005360472 -0.015622068 -0.008448745 0.001390819 + expected$covM0$Item11[4, ] -0.005360453 -0.015622106 -0.008448788 0.001390823 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] - actual$covM0$Item12[1, ] 0.191567171 0.002397711 -0.010013695 -0.07972811 + expected$covM0$Item12[1, ] 0.191567262 0.002397913 -0.010013687 -0.07972831 - actual$covM0$Item12[2, ] 0.002397711 0.268429307 0.031745764 -0.20454872 + expected$covM0$Item12[2, ] 0.002397913 0.268429248 0.031745814 -0.20454884 - actual$covM0$Item12[3, ] -0.010013695 0.031745764 0.004765579 -0.02092361 + expected$covM0$Item12[3, ] -0.010013687 0.031745814 0.004765593 -0.02092366 - actual$covM0$Item12[4, ] -0.079728107 -0.204548723 -0.020923609 0.19196638 + expected$covM0$Item12[4, ] -0.079728306 -0.204548839 -0.020923659 0.19196661 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.182260281 0.001025277 -0.012256093 -0.06825178 + expected$covM0$Item13[1, ] 0.182260274 0.001025282 -0.012256091 -0.06825178 - actual$covM0$Item13[2, ] 0.001025277 0.271553476 0.040175884 -0.18833999 + expected$covM0$Item13[2, ] 0.001025282 0.271553432 0.040175872 -0.18833995 - actual$covM0$Item13[3, ] -0.012256093 0.040175884 0.007357001 -0.02425908 + expected$covM0$Item13[3, ] -0.012256091 0.040175872 0.007356998 -0.02425907 - actual$covM0$Item13[4, ] -0.068251781 -0.188339986 -0.024259077 0.15951398 + expected$covM0$Item13[4, ] -0.068251782 -0.188339952 -0.024259069 0.15951396 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] [,4] - actual$covM0$Item14[1, ] 0.253738076 -0.006413722 -0.011665965 -0.09530079 + expected$covM0$Item14[1, ] 0.253737876 -0.006414399 -0.011665992 -0.09530019 - actual$covM0$Item14[2, ] -0.006413722 0.349403452 0.033102518 -0.25297742 + expected$covM0$Item14[2, ] -0.006414399 0.349403377 0.033102394 -0.25297691 - actual$covM0$Item14[3, ] -0.011665965 0.033102518 0.004077439 -0.02059410 + expected$covM0$Item14[3, ] -0.011665992 0.033102394 0.004077413 -0.02059398 - actual$covM0$Item14[4, ] -0.095300786 -0.252977421 -0.020594102 0.22791483 + expected$covM0$Item14[4, ] -0.095300189 -0.252976908 -0.020593982 0.22791407 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.184228670 -0.07225212 -0.07462452 -0.005053716 + expected$covM0$Item15[1, ] 0.184228521 -0.07225200 -0.07462441 -0.005053736 - actual$covM0$Item15[2, ] -0.072252124 0.31944587 0.14861310 -0.070362019 + expected$covM0$Item15[2, ] -0.072252000 0.31944565 0.14861293 -0.070361976 - actual$covM0$Item15[3, ] -0.074624519 0.14861310 0.08116783 -0.028685416 + expected$covM0$Item15[3, ] -0.074624413 0.14861293 0.08116770 -0.028685383 - actual$covM0$Item15[4, ] -0.005053716 -0.07036202 -0.02868542 0.019268792 + expected$covM0$Item15[4, ] -0.005053736 -0.07036198 -0.02868538 0.019268783 actual$parM1$Item1 | expected$parM1$Item1 [1] -1.90929015 - -1.90928345 [1] [2] 1.64049130 - 1.64048699 [2] [3] -0.20081739 - -0.20083007 [3] [4] 0.40777652 - 0.40778961 [4] [5] 0.05405268 - 0.05405210 [5] [6] 0.07597294 - 0.07597326 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.74132266 - 0.74132163 [8] actual$parM1$Item5 | expected$parM1$Item5 [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] 0.8620892 - 0.8620825 [8] actual$parM1$Item6 | expected$parM1$Item6 [1] 0.945660582 - 0.945660646 [1] [2] 1.419521001 - 1.419521062 [2] [3] -0.313224028 - -0.313224107 [3] [4] 0.310991880 - 0.310991767 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.058811301 - 0.058811298 [6] [7] 0.880409668 - 0.880409657 [7] [8] 1.000000000 | 1.000000000 [8] actual$parM1$Item7 | expected$parM1$Item7 [1] -1.313996673 - -1.313996743 [1] [2] 0.820933135 - 0.820933253 [2] [3] 0.153415204 - 0.153415264 [3] [4] 0.139597780 - 0.139597674 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.63552981 - -1.63554150 [1] [2] 1.16247959 - 1.16247138 [2] [3] -0.85442816 - -0.85441048 [3] [4] -0.11668125 - -0.11667586 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00676850 - 0.00676812 [6] [7] 0.86559096 - 0.86560000 [7] [8] 1.00000000 | 1.00000000 [8] actual$parM1$Item9 | expected$parM1$Item9 [1] 2.0292178 - 2.0291994 [1] [2] 1.5870281 - 1.5870152 [2] [3] -0.0043324 - -0.0042984 [3] [4] -0.1294808 - -0.1294579 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9081880 - 0.9081894 [7] [8] 0.9412682 - 0.9412669 [8] actual$parM1$Item10 | expected$parM1$Item10 [1] 0.726953791 - 0.726952670 [1] [2] 1.480256995 - 1.480260729 [2] [3] 0.190257969 - 0.190258956 [3] [4] -0.152288585 - -0.152292435 [4] [5] 0.004352165 - 0.004353699 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.948339664 - 0.948339307 [7] [8] 0.974848676 - 0.974848702 [8] actual$parM1$Item11 | expected$parM1$Item11 [1] 1.100010144 - 1.100010487 [1] [2] 1.071118317 - 1.071118399 [2] [3] 2.324115082 - 2.324099309 [3] [4] 1.172861810 - 1.172854836 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.969003950 - 0.969003883 [7] [8] 0.979570183 - 0.979570806 [8] actual$parM1$Item12 | expected$parM1$Item12 [1] -1.83982256 - -1.83982409 [1] [2] 1.06770280 - 1.06770308 [2] [3] 0.49283532 - 0.49284485 [3] [4] -0.07781120 - -0.07781537 [4] [5] 0.06380438 - 0.06380456 [5] [6] 0.08077632 - 0.08077513 [6] [7] 1.00000000 | 1.00000000 [7] [8] 1.00000000 | 1.00000000 [8] actual$parM1$Item13 | expected$parM1$Item13 [1] -1.10610160 - -1.10607574 [1] [2] 0.96114918 - 0.96113778 [2] [3] -0.54117576 - -0.54119743 [3] [4] 0.11637167 - 0.11638202 [4] [5] 0.05972374 - 0.05971879 [5] [6] 0.10416405 - 0.10416354 [6] [7] 1.00000000 | 1.00000000 [7] [8] 1.00000000 | 1.00000000 [8] actual$parM1$Item14 | expected$parM1$Item14 [1] -1.47100850 - -1.47101229 [1] [2] 0.80324979 - 0.80325053 [2] [3] -0.83925484 - -0.83907990 [3] [4] 0.72275150 - 0.72264467 [4] [5] 0.09422996 - 0.09423054 [5] [6] 0.17974743 - 0.17973832 [6] [7] 1.00000000 | 1.00000000 [7] [8] 1.00000000 | 1.00000000 [8] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.4947744 - 0.4947587 [1] [2] 0.8750659 - 0.8750560 [2] [3] -0.2604767 - -0.2604823 [3] [4] 0.2049815 - 0.2049770 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9448528 - 0.9448575 [7] [8] 0.8023910 - 0.8023968 [8] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.42459603 - 0.42459512 [1] [2] 0.54889795 - 0.54889728 [2] [3] 0.72358055 - 0.72358167 [3] [4] 0.93474433 - 0.93474605 [4] [5] 0.04866305 - 0.04866327 [5] [6] 0.03580654 - 0.03580640 [6] [7] 0.21347537 - 0.21347587 [7] [8] 0.13820535 - 0.13820457 [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] 0.032208241 | 0.032208241 [6] [7] 0.451801090 - 0.451801105 [7] [8] 0.366029399 - 0.366029413 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 0.54915540 - 0.54916309 [1] [2] 0.84406770 - 0.84407406 [2] [3] 0.65457360 - 0.65457970 [3] [4] 1.04476946 - 1.04477916 [4] [5] 0.30726339 - 0.30725777 [5] [6] 0.15671688 - 0.15671017 [6] [7] 0.04447330 - 0.04447248 [7] [8] 0.08169499 - 0.08169150 [8] actual$seM1$Item6 | expected$seM1$Item6 [1] 0.411903265 - 0.411903273 [1] [2] 0.656807516 - 0.656807484 [2] [3] 0.506972626 - 0.506972678 [3] [4] 0.850207523 - 0.850207391 [4] [5] 0.262132357 - 0.262132335 [5] [6] 0.129960970 - 0.129960955 [6] [7] 0.083673038 - 0.083673032 [7] [8] 0.070361161 - 0.070361163 [8] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.784107084 - 0.784106907 [1] [2] 0.821897288 - 0.821897247 [2] [3] 0.928791769 - 0.928791593 [3] [4] 1.022618129 - 1.022618157 [4] [5] 0.180769488 - 0.180769442 [5] [6] 0.128102288 - 0.128102301 [6] [7] 0.980454441 - 0.980454221 [7] [8] 0.488975228 - 0.488975282 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.46605986 - 0.46606108 [1] [2] 0.59512319 - 0.59512240 [2] [3] 0.96379650 - 0.96379959 [3] [4] 0.94805913 - 0.94805937 [4] [5] 0.07087731 - 0.07087774 [5] [6] 0.05783175 - 0.05783210 [6] [7] 0.38583669 - 0.38584847 [7] [8] 1.16467139 - 1.16467619 [8] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.50473674 - 0.50473638 [1] [2] 0.77535830 - 0.77535595 [2] [3] 0.72965225 - 0.72966167 [3] [4] 1.08404303 - 1.08404336 [4] [5] 0.44917633 - 0.44918001 [5] [6] 0.54052385 - 0.54052198 [6] [7] 0.05187092 - 0.05187156 [7] [8] 0.05584411 - 0.05584343 [8] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.351055601 - 0.351055765 [1] [2] 0.581606711 - 0.581607061 [2] [3] 0.516361727 - 0.516361846 [3] [4] 0.823667397 - 0.823667368 [4] [5] 0.206607483 - 0.206606165 [5] [6] 0.274593705 - 0.274593715 [6] [7] 0.085395431 - 0.085395124 [7] [8] 0.089335939 - 0.089335916 [8] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.534150761 - 0.534150791 [1] [2] 0.648113915 - 0.648113962 [2] [3] 0.867075677 - 0.867071913 [3] [4] 1.082312041 - 1.082308858 [4] [5] 0.521548300 - 0.521548354 [5] [6] 0.403775027 - 0.403774360 [6] [7] 0.105250889 - 0.105250858 [7] [8] 0.029672848 - 0.029672943 [8] actual$seM1$Item12 | expected$seM1$Item12 [1] 0.682150136 - 0.682150557 [1] [2] 0.799717948 - 0.799718399 [2] [3] 0.892106806 - 0.892107588 [3] [4] 1.054422306 - 1.054423464 [4] [5] 0.094446760 - 0.094446680 [5] [6] 0.114510682 - 0.114511866 [6] [7] 0.761115922 - 0.761116495 [7] [8] 0.540500196 - 0.540502736 [8] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.58892458 - 0.58892604 [1] [2] 0.74271982 - 0.74272025 [2] [3] 0.85529308 - 0.85529361 [3] [4] 1.04313279 - 1.04313238 [4] [5] 0.15796018 - 0.15796551 [5] [6] 0.09190741 - 0.09190766 [6] [7] 0.54514222 - 0.54514767 [7] [8] 0.57083546 - 0.57083494 [8] actual$seM1$Item14 | expected$seM1$Item14 [1] 1.13583878 - 1.13584061 [1] [2] 1.06408310 - 1.06408399 [2] [3] 1.31552967 - 1.31551318 [3] [4] 1.30508842 - 1.30507987 [4] [5] 0.19054395 - 0.19054330 [5] [6] 0.04928625 - 0.04929145 [6] [7] 1.34401433 - 1.34401613 [7] [8] 0.34917240 - 0.34920075 [8] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.7281699 - 0.7281753 [1] [2] 0.8488077 - 0.8488101 [2] [3] 0.9085928 - 0.9085989 [3] [4] 1.1464332 - 1.1464343 [4] [5] 0.6082345 - 0.6082423 [5] [6] 0.2794160 - 0.2794195 [6] [7] 0.2471840 - 0.2471916 [7] [8] 0.1775734 - 0.1775796 [8] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item1[1, ] 1.802818e-01 -1.422088e-01 -0.180281801 0.14220882 -1.629784e-02 4.979472e-10 9.434399e-03 -2.125324e-09 + expected$covM1$Item1[1, ] 1.802810e-01 -1.422077e-01 -0.180281009 0.14220771 -1.629786e-02 -2.852109e-10 9.434185e-03 -3.413677e-09 - actual$covM1$Item1[2, ] -1.422088e-01 3.012890e-01 0.142208816 -0.30128897 2.088669e-02 -5.310956e-10 -9.568292e-02 -1.627643e-09 + expected$covM1$Item1[2, ] -1.422077e-01 3.012882e-01 0.142207709 -0.30128820 2.088678e-02 6.208476e-10 -9.568310e-02 1.857724e-09 - actual$covM1$Item1[3, ] -1.802818e-01 1.422088e-01 0.523568811 -0.46372619 1.629784e-02 -1.618107e-02 -9.434403e-03 1.535410e-02 + expected$covM1$Item1[3, ] -1.802810e-01 1.422077e-01 0.523570437 -0.46372828 1.629786e-02 -1.618105e-02 -9.434179e-03 1.535424e-02 - actual$covM1$Item1[4, ] 1.422088e-01 -3.012890e-01 -0.463726194 0.87374697 -2.088669e-02 1.813524e-02 9.568292e-02 -7.927757e-02 + expected$covM1$Item1[4, ] 1.422077e-01 -3.012882e-01 -0.463728282 0.87375018 -2.088678e-02 1.813518e-02 9.568309e-02 -7.927731e-02 - actual$covM1$Item1[5, ] -1.629784e-02 2.088669e-02 0.016297839 -0.02088669 2.368092e-03 -5.088872e-11 -5.292538e-03 5.182276e-11 + expected$covM1$Item1[5, ] -1.629786e-02 2.088678e-02 0.016297861 -0.02088678 2.368113e-03 4.259473e-11 -5.292587e-03 2.731451e-10 - actual$covM1$Item1[6, ] 4.979472e-10 -5.310956e-10 -0.016181070 0.01813524 -5.088872e-11 1.282109e-03 9.059344e-11 -1.868000e-03 + expected$covM1$Item1[6, ] -2.852109e-10 6.208476e-10 -0.016181047 0.01813518 4.259473e-11 1.282099e-03 -1.996404e-10 -1.867973e-03 - actual$covM1$Item1[7, ] 9.434399e-03 -9.568292e-02 -0.009434403 0.09568292 -5.292538e-03 9.059344e-11 4.557173e-02 1.430502e-09 + expected$covM1$Item1[7, ] 9.434185e-03 -9.568310e-02 -0.009434179 0.09568309 -5.292587e-03 -1.996404e-10 4.557195e-02 2.109875e-10 - actual$covM1$Item1[8, ] -2.125324e-09 -1.627643e-09 0.015354102 -0.07927757 5.182276e-11 -1.868000e-03 1.430502e-09 1.910072e-02 + expected$covM1$Item1[8, ] -3.413677e-09 1.857724e-09 0.015354243 -0.07927731 2.731451e-10 -1.867973e-03 2.109875e-10 1.910050e-02 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 1.937721e-01 -5.648306e-02 -0.19377209 0.05648306 -1.248139e-02 1.098063e-11 -4.274783e-02 -9.054442e-10 + expected$covM1$Item3[1, ] 1.937721e-01 -5.648306e-02 -0.19377209 0.05648307 -1.248139e-02 7.852138e-11 -4.274783e-02 -2.820187e-09 - actual$covM1$Item3[2, ] -5.648306e-02 2.935605e-01 0.05648307 -0.29356054 2.405229e-02 -2.117910e-10 -2.161977e-01 -1.130208e-09 + expected$covM1$Item3[2, ] -5.648306e-02 2.935606e-01 0.05648305 -0.29356057 2.405229e-02 2.363820e-10 -2.161978e-01 6.175055e-09 - actual$covM1$Item3[3, ] -1.937721e-01 5.648307e-02 0.46258033 -0.22687774 1.248139e-02 -1.230791e-02 4.274783e-02 1.780295e-02 + expected$covM1$Item3[3, ] -1.937721e-01 5.648305e-02 0.46258029 -0.22687769 1.248139e-02 -1.230791e-02 4.274784e-02 1.780295e-02 - actual$covM1$Item3[4, ] 5.648306e-02 -2.935605e-01 -0.22687774 0.59582434 -2.405229e-02 1.330833e-02 2.161977e-01 -1.676650e-01 + expected$covM1$Item3[4, ] 5.648307e-02 -2.935606e-01 -0.22687769 0.59582438 -2.405229e-02 1.330833e-02 2.161978e-01 -1.676651e-01 - actual$covM1$Item3[5, ] -1.248139e-02 2.405229e-02 0.01248139 -0.02405229 2.726658e-03 -1.607442e-11 -1.500150e-02 -4.438599e-11 + expected$covM1$Item3[5, ] -1.248139e-02 2.405229e-02 0.01248139 -0.02405229 2.726658e-03 1.404304e-11 -1.500150e-02 5.760183e-10 - actual$covM1$Item3[6, ] 1.098063e-11 -2.117910e-10 -0.01230791 0.01330833 -1.607442e-11 1.037371e-03 1.697052e-10 -5.913418e-03 + expected$covM1$Item3[6, ] 7.852138e-11 2.363820e-10 -0.01230791 0.01330833 1.404304e-11 1.037371e-03 -2.312712e-10 -5.913418e-03 - actual$covM1$Item3[7, ] -4.274783e-02 -2.161977e-01 0.04274783 0.21619775 -1.500150e-02 1.697052e-10 2.041242e-01 1.350185e-09 + expected$covM1$Item3[7, ] -4.274783e-02 -2.161978e-01 0.04274784 0.21619777 -1.500150e-02 -2.312712e-10 2.041242e-01 -3.795105e-09 - actual$covM1$Item3[8, ] -9.054442e-10 -1.130208e-09 0.01780295 -0.16766505 -4.438599e-11 -5.913418e-03 1.350185e-09 1.339775e-01 + expected$covM1$Item3[8, ] -2.820187e-09 6.175055e-09 0.01780295 -0.16766507 5.760183e-10 -5.913418e-03 -3.795105e-09 1.339775e-01 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 3.015717e-01 2.658844e-01 -0.30157165 -0.26588439 1.415115e-02 -7.765957e-09 -1.789503e-02 3.887824e-10 + expected$covM1$Item5[1, ] 3.015801e-01 2.659004e-01 -0.30158009 -0.26590045 1.415493e-02 -5.251808e-09 -1.789510e-02 -1.291794e-09 - actual$covM1$Item5[2, ] 2.658844e-01 7.124503e-01 -0.26588432 -0.71245037 2.173269e-01 -1.908533e-08 -2.656829e-02 -6.231776e-10 + expected$covM1$Item5[2, ] 2.659004e-01 7.124610e-01 -0.26590040 -0.71246105 2.173239e-01 -1.335755e-08 -2.656779e-02 -2.820778e-09 - actual$covM1$Item5[3, ] -3.015716e-01 -2.658843e-01 0.42846660 0.28114910 -1.415114e-02 -2.078266e-02 1.789503e-02 -1.457317e-02 + expected$covM1$Item5[3, ] -3.015801e-01 -2.659004e-01 0.42847459 0.28117118 -1.415492e-02 -2.078071e-02 1.789510e-02 -1.457318e-02 - actual$covM1$Item5[4, ] -2.658844e-01 -7.124504e-01 0.28114910 1.09154322 -2.173269e-01 8.242634e-02 2.656829e-02 -3.957643e-02 + expected$covM1$Item5[4, ] -2.659004e-01 -7.124611e-01 0.28117118 1.09156349 -2.173239e-01 8.242330e-02 2.656779e-02 -3.957481e-02 - actual$covM1$Item5[5, ] 1.415115e-02 2.173269e-01 -0.01415114 -0.21732693 9.441079e-02 -5.608932e-09 -6.384210e-03 -3.956964e-10 + expected$covM1$Item5[5, ] 1.415493e-02 2.173239e-01 -0.01415492 -0.21732389 9.440734e-02 -3.986279e-09 -6.383889e-03 -7.813329e-10 - actual$covM1$Item5[6, ] -7.765957e-09 -1.908533e-08 -0.02078266 0.08242634 -5.608932e-09 2.456018e-02 7.370917e-10 -6.934005e-03 + expected$covM1$Item5[6, ] -5.251808e-09 -1.335755e-08 -0.02078071 0.08242330 -3.986279e-09 2.455808e-02 5.086183e-10 -6.933248e-03 - actual$covM1$Item5[7, ] -1.789503e-02 -2.656829e-02 0.01789503 0.02656829 -6.384210e-03 7.370917e-10 1.977874e-03 -1.264911e-12 + expected$covM1$Item5[7, ] -1.789510e-02 -2.656779e-02 0.01789510 0.02656779 -6.383889e-03 5.086183e-10 1.977802e-03 1.146141e-10 - actual$covM1$Item5[8, ] 3.887824e-10 -6.231776e-10 -0.01457317 -0.03957643 -3.956964e-10 -6.934005e-03 -1.264911e-12 6.674072e-03 + expected$covM1$Item5[8, ] -1.291794e-09 -2.820778e-09 -0.01457318 -0.03957481 -7.813329e-10 -6.933248e-03 1.146141e-10 6.673501e-03 actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item6[1, ] 1.696643e-01 2.710230e-03 -0.169664294 -0.002710218 -4.611906e-02 1.159722e-09 -1.443157e-02 -2.518590e-09 + expected$covM1$Item6[1, ] 1.696643e-01 2.710252e-03 -0.169664314 -0.002710253 -4.611905e-02 -1.594550e-10 -1.443157e-02 4.638801e-10 - actual$covM1$Item6[2, ] 2.710230e-03 4.313961e-01 -0.002710226 -0.431396095 1.501599e-01 2.309210e-09 -4.510490e-02 -2.215576e-09 + expected$covM1$Item6[2, ] 2.710252e-03 4.313961e-01 -0.002710244 -0.431396039 1.501599e-01 3.172263e-09 -4.510489e-02 -2.245181e-10 - actual$covM1$Item6[3, ] -1.696643e-01 -2.710226e-03 0.257021244 0.027847949 4.611906e-02 -1.199746e-02 1.443157e-02 -1.186311e-02 + expected$covM1$Item6[3, ] -1.696643e-01 -2.710244e-03 0.257021296 0.027847973 4.611905e-02 -1.199747e-02 1.443157e-02 -1.186311e-02 - actual$covM1$Item6[4, ] -2.710218e-03 -4.313961e-01 0.027847949 0.722852833 -1.501599e-01 5.833345e-02 4.510490e-02 -2.869884e-02 + expected$covM1$Item6[4, ] -2.710253e-03 -4.313960e-01 0.027847973 0.722852608 -1.501598e-01 5.833342e-02 4.510489e-02 -2.869884e-02 - actual$covM1$Item6[5, ] -4.611906e-02 1.501599e-01 0.046119056 -0.150159881 6.871337e-02 4.860894e-10 -1.290940e-02 -7.636608e-11 + expected$covM1$Item6[5, ] -4.611905e-02 1.501599e-01 0.046119053 -0.150159849 6.871336e-02 1.153962e-09 -1.290940e-02 -2.072279e-10 - actual$covM1$Item6[6, ] 1.159722e-09 2.309210e-09 -0.011997462 0.058333448 4.860894e-10 1.688985e-02 -3.369493e-10 -4.528878e-03 + expected$covM1$Item6[6, ] -1.594550e-10 3.172263e-09 -0.011997467 0.058333419 1.153962e-09 1.688985e-02 -3.167177e-10 -4.528876e-03 - actual$covM1$Item6[7, ] -1.443157e-02 -4.510490e-02 0.014431570 0.045104895 -1.290940e-02 -3.369493e-10 7.001177e-03 4.405349e-10 + expected$covM1$Item6[7, ] -1.443157e-02 -4.510489e-02 0.014431573 0.045104888 -1.290940e-02 -3.167177e-10 7.001176e-03 -1.532956e-11 - actual$covM1$Item6[8, ] -2.518590e-09 -2.215576e-09 -0.011863109 -0.028698845 -7.636608e-11 -4.528878e-03 4.405349e-10 4.950693e-03 + expected$covM1$Item6[8, ] 4.638801e-10 -2.245181e-10 -0.011863114 -0.028698840 -2.072279e-10 -4.528876e-03 -1.532956e-11 4.950693e-03 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 6.148239e-01 2.293664e-01 -0.614823934 -0.22936652 8.075119e-03 -1.574235e-08 -4.970704e-01 6.841191e-08 + expected$covM1$Item7[1, ] 6.148236e-01 2.293663e-01 -0.614823640 -0.22936638 8.075103e-03 -1.912461e-08 -4.970702e-01 9.333859e-08 - actual$covM1$Item7[2, ] 2.293664e-01 6.755152e-01 -0.229366390 -0.67551530 1.388267e-01 -1.643909e-08 -7.547802e-01 6.880520e-08 + expected$covM1$Item7[2, ] 2.293663e-01 6.755151e-01 -0.229366285 -0.67551528 1.388267e-01 -3.499517e-08 -7.547800e-01 1.573791e-07 - actual$covM1$Item7[3, ] -6.148239e-01 -2.293664e-01 0.862654149 0.23744550 -8.075118e-03 -1.977665e-02 4.970704e-01 -1.001275e-01 + expected$covM1$Item7[3, ] -6.148236e-01 -2.293663e-01 0.862653823 0.23744534 -8.075104e-03 -1.977664e-02 4.970702e-01 -1.001276e-01 - actual$covM1$Item7[4, ] -2.293665e-01 -6.755153e-01 0.237445504 1.04574784 -1.388268e-01 7.065307e-02 7.547804e-01 -2.703123e-01 + expected$covM1$Item7[4, ] -2.293664e-01 -6.755153e-01 0.237445339 1.04574790 -1.388267e-01 7.065310e-02 7.547802e-01 -2.703124e-01 - actual$covM1$Item7[5, ] 8.075119e-03 1.388267e-01 -0.008075118 -0.13882676 3.267761e-02 -2.639258e-09 -1.403356e-01 1.086298e-08 + expected$covM1$Item7[5, ] 8.075103e-03 1.388267e-01 -0.008075104 -0.13882673 3.267759e-02 -6.665068e-09 -1.403355e-01 2.944053e-08 - actual$covM1$Item7[6, ] -1.574235e-08 -1.643909e-08 -0.019776647 0.07065307 -2.639258e-09 1.641020e-02 2.292451e-08 -4.520210e-02 + expected$covM1$Item7[6, ] -1.912461e-08 -3.499517e-08 -0.019776645 0.07065310 -6.665068e-09 1.641020e-02 4.234926e-08 -4.520212e-02 - actual$covM1$Item7[7, ] -4.970704e-01 -7.547802e-01 0.497070432 0.75478039 -1.403356e-01 2.292451e-08 9.612909e-01 -9.708110e-08 + expected$covM1$Item7[7, ] -4.970702e-01 -7.547800e-01 0.497070157 0.75478022 -1.403355e-01 4.234926e-08 9.612905e-01 -1.937397e-07 - actual$covM1$Item7[8, ] 6.841191e-08 6.880520e-08 -0.100127537 -0.27031226 1.086298e-08 -4.520210e-02 -9.708110e-08 2.390968e-01 + expected$covM1$Item7[8, ] 9.333859e-08 1.573791e-07 -0.100127552 -0.27031240 2.944053e-08 -4.520212e-02 -1.937397e-07 2.390968e-01 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 2.172118e-01 -5.067919e-02 -0.217211815 0.05067916 -1.672769e-02 -9.644456e-10 -4.568448e-02 3.451688e-08 + expected$covM1$Item8[1, ] 2.172129e-01 -5.067505e-02 -0.217212938 0.05067505 -1.672739e-02 -3.888664e-11 -4.568823e-02 8.975101e-09 - actual$covM1$Item8[2, ] -5.067919e-02 3.541716e-01 0.050679318 -0.35417147 3.691445e-02 6.880647e-09 -2.040181e-01 -2.426712e-07 + expected$covM1$Item8[2, ] -5.067505e-02 3.541707e-01 0.050674999 -0.35417068 3.691468e-02 -1.174378e-09 -2.040244e-01 4.327372e-08 - actual$covM1$Item8[3, ] -2.172118e-01 5.067932e-02 0.928903686 0.17793591 1.672771e-02 1.100187e-03 4.568440e-02 -6.895726e-01 + expected$covM1$Item8[3, ] -2.172129e-01 5.067500e-02 0.928909643 0.17794430 1.672739e-02 1.100476e-03 4.568827e-02 -6.895808e-01 - actual$covM1$Item8[4, ] 5.067916e-02 -3.541715e-01 0.177935908 0.89881612 -3.691443e-02 3.730981e-02 2.040180e-01 -7.848099e-01 + expected$covM1$Item8[4, ] 5.067505e-02 -3.541707e-01 0.177944305 0.89881657 -3.691468e-02 3.731012e-02 2.040244e-01 -7.848145e-01 - actual$covM1$Item8[5, ] -1.672769e-02 3.691445e-02 0.016727706 -0.03691443 5.023592e-03 7.160562e-10 -1.817277e-02 -2.528172e-08 + expected$covM1$Item8[5, ] -1.672739e-02 3.691468e-02 0.016727388 -0.03691468 5.023655e-03 -1.111240e-10 -1.817352e-02 3.683575e-09 - actual$covM1$Item8[6, ] -9.644456e-10 6.880647e-09 0.001100187 0.03730981 7.160562e-10 3.344511e-03 -3.970724e-09 -4.683846e-02 + expected$covM1$Item8[6, ] -3.888664e-11 -1.174378e-09 0.001100476 0.03731012 -1.111240e-10 3.344552e-03 7.503091e-10 -4.683904e-02 - actual$covM1$Item8[7, ] -4.568448e-02 -2.040181e-01 0.045684404 0.20401800 -1.817277e-02 -3.970724e-09 1.488700e-01 1.398631e-07 + expected$covM1$Item8[7, ] -4.568823e-02 -2.040244e-01 0.045688266 0.20402440 -1.817352e-02 7.503091e-10 1.488790e-01 -3.033738e-08 - actual$covM1$Item8[8, ] 3.451688e-08 -2.426712e-07 -0.689572557 -0.78480985 -2.528172e-08 -4.683846e-02 1.398631e-07 1.356459e+00 + expected$covM1$Item8[8, ] 8.975101e-09 4.327372e-08 -0.689580765 -0.78481453 3.683575e-09 -4.683904e-02 -3.033738e-08 1.356471e+00 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item9[1, ] 2.547592e-01 7.025672e-02 -0.25475490 -0.07025636 -6.274698e-02 -1.127266e-06 -1.366385e-02 5.049586e-08 + expected$covM1$Item9[1, ] 2.547588e-01 7.024992e-02 -0.25475808 -0.07024849 -6.275074e-02 3.094122e-07 -1.366370e-02 -4.539446e-08 - actual$covM1$Item9[2, ] 7.025672e-02 6.011805e-01 -0.07025539 -0.60118038 3.059795e-01 -3.659233e-07 -3.133225e-02 3.499398e-08 + expected$covM1$Item9[2, ] 7.024992e-02 6.011769e-01 -0.07024990 -0.60117701 3.059814e-01 -1.928635e-07 -3.133265e-02 8.244733e-09 - actual$covM1$Item9[3, ] -2.547549e-01 -7.025539e-02 0.53239241 0.08083954 6.274601e-02 -1.110693e-01 1.366361e-02 -1.199317e-02 + expected$covM1$Item9[3, ] -2.547581e-01 -7.024990e-02 0.53240615 0.08083796 6.275046e-02 -1.110695e-01 1.366367e-02 -1.199334e-02 - actual$covM1$Item9[4, ] -7.025636e-02 -6.011804e-01 0.08083954 1.17514929 -3.059795e-01 3.677509e-01 3.133223e-02 -3.369057e-02 + expected$covM1$Item9[4, ] -7.024849e-02 -6.011770e-01 0.08083796 1.17515001 -3.059820e-01 3.677501e-01 3.133260e-02 -3.369015e-02 - actual$covM1$Item9[5, ] -6.274698e-02 3.059795e-01 0.06274601 -0.30597954 2.017594e-01 2.470564e-07 -1.308526e-02 -7.303145e-10 + expected$covM1$Item9[5, ] -6.275074e-02 3.059814e-01 0.06275046 -0.30598205 2.017627e-01 -2.307880e-07 -1.308561e-02 2.271804e-08 - actual$covM1$Item9[6, ] -1.127266e-06 -3.659233e-07 -0.11106935 0.36775088 2.470564e-07 2.921660e-01 6.306826e-08 -1.791720e-02 + expected$covM1$Item9[6, ] 3.094122e-07 -1.928635e-07 -0.11106951 0.36775008 -2.307880e-07 2.921640e-01 -3.415117e-09 -1.791681e-02 - actual$covM1$Item9[7, ] -1.366385e-02 -3.133225e-02 0.01366361 0.03133223 -1.308526e-02 6.306826e-08 2.690592e-03 -3.706466e-09 + expected$covM1$Item9[7, ] -1.366370e-02 -3.133265e-02 0.01366367 0.03133260 -1.308561e-02 -3.415117e-09 2.690658e-03 1.451001e-09 - actual$covM1$Item9[8, ] 5.049586e-08 3.499398e-08 -0.01199317 -0.03369057 -7.303145e-10 -1.791720e-02 -3.706466e-09 3.118565e-03 + expected$covM1$Item9[8, ] -4.539446e-08 8.244733e-09 -0.01199334 -0.03369015 2.271804e-08 -1.791681e-02 1.451001e-09 3.118488e-03 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item10[1, ] 1.232400e-01 4.514414e-03 -0.123240043 -0.004514379 -3.078696e-02 1.448597e-08 -1.323332e-02 -4.155859e-09 + expected$covM1$Item10[1, ] 1.232402e-01 4.514483e-03 -0.123240156 -0.004514475 -3.078682e-02 3.534583e-09 -1.323331e-02 6.703700e-10 - actual$covM1$Item10[2, ] 4.514414e-03 3.382664e-01 -0.004514523 -0.338266400 1.033718e-01 9.681831e-09 -4.032077e-02 1.323901e-08 + expected$covM1$Item10[2, ] 4.514483e-03 3.382668e-01 -0.004514401 -0.338266690 1.033711e-01 1.398351e-08 -4.032060e-02 -2.034760e-08 - actual$covM1$Item10[3, ] -1.232400e-01 -4.514523e-03 0.266629433 -0.003080438 3.078693e-02 -4.534638e-02 1.323334e-02 -1.307006e-02 + expected$covM1$Item10[3, ] -1.232402e-01 -4.514401e-03 0.266629556 -0.003080710 3.078685e-02 -4.534645e-02 1.323330e-02 -1.307005e-02 - actual$covM1$Item10[4, ] -4.514379e-03 -3.382664e-01 -0.003080438 0.678427981 -1.033718e-01 1.426879e-01 4.032077e-02 -4.307553e-02 + expected$covM1$Item10[4, ] -4.514475e-03 -3.382667e-01 -0.003080710 0.678427933 -1.033711e-01 1.426879e-01 4.032059e-02 -4.307546e-02 - actual$covM1$Item10[5, ] -3.078696e-02 1.033718e-01 0.030786930 -0.103371778 4.268665e-02 -7.903516e-10 -1.001650e-02 5.177125e-09 + expected$covM1$Item10[5, ] -3.078682e-02 1.033711e-01 0.030786848 -0.103371059 4.268611e-02 3.398961e-09 -1.001637e-02 -6.464000e-09 - actual$covM1$Item10[6, ] 1.448597e-08 9.681831e-09 -0.045346383 0.142687949 -7.903516e-10 7.540170e-02 -2.633700e-09 -1.504783e-02 + expected$covM1$Item10[6, ] 3.534583e-09 1.398351e-08 -0.045346450 0.142687902 3.398961e-09 7.540171e-02 -2.011849e-09 -1.504782e-02 - actual$covM1$Item10[7, ] -1.323332e-02 -4.032077e-02 0.013233335 0.040320768 -1.001650e-02 -2.633700e-09 7.292380e-03 -1.131545e-09 + expected$covM1$Item10[7, ] -1.323331e-02 -4.032060e-02 0.013233302 0.040320585 -1.001637e-02 -2.011849e-09 7.292327e-03 2.328308e-09 - actual$covM1$Item10[8, ] -4.155859e-09 1.323901e-08 -0.013070064 -0.043075527 5.177125e-09 -1.504783e-02 -1.131545e-09 7.980910e-03 + expected$covM1$Item10[8, ] 6.703700e-10 -2.034760e-08 -0.013070051 -0.043075460 -6.464000e-09 -1.504782e-02 2.328308e-09 7.980906e-03 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item11[1, ] 2.853170e-01 -1.351347e-01 -0.2853170333 0.13513473 -1.950142e-01 -7.877871e-09 8.025076e-04 -8.374603e-11 + expected$covM1$Item11[1, ] 2.853171e-01 -1.351348e-01 -0.2853171198 0.13513471 -1.950142e-01 -1.740014e-08 8.025077e-04 1.831238e-09 - actual$covM1$Item11[2, ] -1.351347e-01 4.200516e-01 0.1351347479 -0.42005162 3.107887e-01 1.759049e-08 -6.031934e-02 -1.198894e-09 + expected$covM1$Item11[2, ] -1.351348e-01 4.200517e-01 0.1351348313 -0.42005162 3.107887e-01 3.313657e-08 -6.031933e-02 -2.875138e-09 - actual$covM1$Item11[3, ] -2.853170e-01 1.351347e-01 0.7518202302 0.31830358 1.950142e-01 9.916296e-02 -8.025082e-04 -1.466363e-02 + expected$covM1$Item11[3, ] -2.853171e-01 1.351348e-01 0.7518137019 0.31829662 1.950143e-01 9.916105e-02 -8.025142e-04 -1.466358e-02 - actual$covM1$Item11[4, ] 1.351347e-01 -4.200516e-01 0.3183035770 1.17139935 -3.107887e-01 3.012364e-01 6.031934e-02 -1.644654e-02 + expected$covM1$Item11[4, ] 1.351347e-01 -4.200516e-01 0.3182966215 1.17139246 -3.107887e-01 3.012345e-01 6.031932e-02 -1.644655e-02 - actual$covM1$Item11[5, ] -1.950142e-01 3.107887e-01 0.1950141844 -0.31078866 2.720126e-01 1.388677e-08 -3.882278e-02 -7.025763e-10 + expected$covM1$Item11[5, ] -1.950142e-01 3.107887e-01 0.1950142769 -0.31078866 2.720127e-01 2.716550e-08 -3.882277e-02 -2.483378e-09 - actual$covM1$Item11[6, ] -7.877871e-09 1.759049e-08 0.0991629560 0.30123637 1.388677e-08 1.630343e-01 -2.355316e-09 -5.212323e-03 + expected$covM1$Item11[6, ] -1.740014e-08 3.313657e-08 0.0991610530 0.30123451 2.716550e-08 1.630337e-01 -4.239973e-09 -5.212342e-03 - actual$covM1$Item11[7, ] 8.025076e-04 -6.031934e-02 -0.0008025082 0.06031934 -3.882278e-02 -2.355316e-09 1.107775e-02 2.082710e-10 + expected$covM1$Item11[7, ] 8.025077e-04 -6.031933e-02 -0.0008025142 0.06031932 -3.882277e-02 -4.239973e-09 1.107774e-02 3.431572e-10 - actual$covM1$Item11[8, ] -8.374603e-11 -1.198894e-09 -0.0146636265 -0.01644654 -7.025763e-10 -5.212323e-03 2.082710e-10 8.804779e-04 + expected$covM1$Item11[8, ] 1.831238e-09 -2.875138e-09 -0.0146635843 -0.01644655 -2.483378e-09 -5.212342e-03 3.431572e-10 8.804835e-04 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item12[1, ] 4.653288e-01 3.519917e-02 -0.46532881 -0.03519913 -1.766374e-02 4.785938e-09 -2.363844e-01 -2.565008e-08 + expected$covM1$Item12[1, ] 4.653294e-01 3.519918e-02 -0.46532939 -0.03519920 -1.766374e-02 -2.468305e-09 -2.363847e-01 1.680654e-08 - actual$covM1$Item12[2, ] 3.519917e-02 6.395488e-01 -0.03519915 -0.63954861 6.723418e-02 1.228027e-08 -5.522145e-01 -1.254240e-07 + expected$covM1$Item12[2, ] 3.519918e-02 6.395495e-01 -0.03519932 -0.63954966 6.723415e-02 8.422145e-10 -5.522152e-01 9.533741e-08 - actual$covM1$Item12[3, ] -4.653288e-01 -3.519915e-02 0.79585455 0.04754226 1.766374e-02 -2.042151e-02 2.363844e-01 -1.319612e-01 + expected$covM1$Item12[3, ] -4.653294e-01 -3.519932e-02 0.79585595 0.04754444 1.766372e-02 -2.042140e-02 2.363848e-01 -1.319630e-01 - actual$covM1$Item12[4, ] -3.519913e-02 -6.395486e-01 0.04754226 1.11180640 -6.723416e-02 7.066870e-02 5.522143e-01 -3.360360e-01 + expected$covM1$Item12[4, ] -3.519920e-02 -6.395497e-01 0.04754444 1.11180884 -6.723417e-02 7.066959e-02 5.522154e-01 -3.360384e-01 - actual$covM1$Item12[5, ] -1.766374e-02 6.723418e-02 0.01766374 -0.06723416 8.920190e-03 1.101505e-09 -5.055105e-02 -1.232120e-08 + expected$covM1$Item12[5, ] -1.766374e-02 6.723415e-02 0.01766372 -0.06723417 8.920175e-03 2.044751e-10 -5.055105e-02 9.489638e-09 - actual$covM1$Item12[6, ] 4.785938e-09 1.228027e-08 -0.02042151 0.07066870 1.101505e-09 1.311270e-02 -1.243037e-08 -4.378249e-02 + expected$covM1$Item12[6, ] -2.468305e-09 8.422145e-10 -0.02042140 0.07066959 2.044751e-10 1.311297e-02 3.906386e-10 -4.378326e-02 - actual$covM1$Item12[7, ] -2.363844e-01 -5.522145e-01 0.23638438 0.55221433 -5.055105e-02 -1.243037e-08 5.792974e-01 1.166302e-07 + expected$covM1$Item12[7, ] -2.363847e-01 -5.522152e-01 0.23638482 0.55221536 -5.055105e-02 3.906386e-10 5.792983e-01 -8.745704e-08 - actual$covM1$Item12[8, ] -2.565008e-08 -1.254240e-07 -0.13196124 -0.33603600 -1.232120e-08 -4.378249e-02 1.166302e-07 2.921405e-01 + expected$covM1$Item12[8, ] 1.680654e-08 9.533741e-08 -0.13196302 -0.33603844 9.489638e-09 -4.378326e-02 -8.745704e-08 2.921432e-01 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item13[1, ] 3.468322e-01 -1.452976e-03 -0.346832155 0.001452979 -3.101076e-02 2.336087e-10 -1.203929e-01 -4.865420e-09 + expected$covM1$Item13[1, ] 3.468339e-01 -1.449219e-03 -0.346833876 0.001449206 -3.101099e-02 -1.107246e-09 -1.203960e-01 3.431075e-09 - actual$covM1$Item13[2, ] -1.452976e-03 5.516327e-01 0.001453087 -0.551632824 1.072259e-01 -1.307362e-08 -3.698355e-01 2.739666e-08 + expected$covM1$Item13[2, ] -1.449219e-03 5.516334e-01 0.001449266 -0.551633339 1.072298e-01 2.347588e-09 -3.698400e-01 -4.015091e-08 - actual$covM1$Item13[3, ] -3.468322e-01 1.453087e-03 0.731526255 -0.023016131 3.101078e-02 -2.228676e-02 1.203928e-01 -1.337120e-01 + expected$covM1$Item13[3, ] -3.468339e-01 1.449266e-03 0.731527155 -0.023011660 3.101100e-02 -2.228674e-02 1.203959e-01 -1.337121e-01 - actual$covM1$Item13[4, ] 1.452979e-03 -5.516328e-01 -0.023016131 1.088126023 -1.072259e-01 5.894228e-02 3.698356e-01 -3.730409e-01 + expected$covM1$Item13[4, ] 1.449206e-03 -5.516333e-01 -0.023011660 1.088125162 -1.072298e-01 5.894237e-02 3.698400e-01 -3.730401e-01 - actual$covM1$Item13[5, ] -3.101076e-02 1.072259e-01 0.031010780 -0.107225942 2.495142e-02 -2.558886e-09 -6.329570e-02 5.750013e-09 + expected$covM1$Item13[5, ] -3.101099e-02 1.072298e-01 0.031010996 -0.107229825 2.495310e-02 5.538943e-10 -6.329883e-02 -8.099426e-09 - actual$covM1$Item13[6, ] 2.336087e-10 -1.307362e-08 -0.022286763 0.058942276 -2.558886e-09 8.446973e-03 8.695352e-09 -3.506986e-02 + expected$covM1$Item13[6, ] -1.107246e-09 2.347588e-09 -0.022286738 0.058942366 5.538943e-10 8.447019e-03 -1.188625e-09 -3.506994e-02 - actual$covM1$Item13[7, ] -1.203929e-01 -3.698355e-01 0.120392820 0.369835561 -6.329570e-02 8.695352e-09 2.971800e-01 -1.669043e-08 + expected$covM1$Item13[7, ] -1.203960e-01 -3.698400e-01 0.120395932 0.369840016 -6.329883e-02 -1.188625e-09 2.971860e-01 2.575525e-08 - actual$covM1$Item13[8, ] -4.865420e-09 2.739666e-08 -0.133712017 -0.373040851 5.750013e-09 -3.506986e-02 -1.669043e-08 3.258531e-01 + expected$covM1$Item13[8, ] 3.431075e-09 -4.015091e-08 -0.133712106 -0.373040050 -8.099426e-09 -3.506994e-02 2.575525e-08 3.258525e-01 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item14[1, ] 1.290130e+00 5.768067e-01 -1.29012979 -0.57680665 4.202913e-02 3.729742e-09 -1.124521e+00 -2.942862e-08 + expected$covM1$Item14[1, ] 1.290134e+00 5.768087e-01 -1.29013390 -0.57680865 4.202913e-02 1.823499e-09 -1.124525e+00 -3.888123e-08 - actual$covM1$Item14[2, ] 5.768067e-01 1.132273e+00 -0.57680681 -1.13227274 1.898900e-01 4.164431e-09 -1.345175e+00 -2.927136e-08 + expected$covM1$Item14[2, ] 5.768087e-01 1.132275e+00 -0.57680876 -1.13227464 1.898895e-01 3.766253e-09 -1.345177e+00 -4.179300e-08 - actual$covM1$Item14[3, ] -1.290130e+00 -5.768068e-01 1.73061832 0.29062312 -4.202914e-02 -2.451524e-02 1.124521e+00 1.186049e-02 + expected$covM1$Item14[3, ] -1.290134e+00 -5.768088e-01 1.73057493 0.29068913 -4.202914e-02 -2.451562e-02 1.124525e+00 1.184286e-02 - actual$covM1$Item14[4, ] -5.768067e-01 -1.132273e+00 0.29062312 1.70325578 -1.898900e-01 2.839026e-02 1.345174e+00 -2.167961e-01 + expected$covM1$Item14[4, ] -5.768087e-01 -1.132275e+00 0.29068913 1.70323347 -1.898895e-01 2.839367e-02 1.345177e+00 -2.168133e-01 - actual$covM1$Item14[5, ] 4.202913e-02 1.898900e-01 -0.04202914 -0.18988998 3.630700e-02 6.100947e-10 -2.049987e-01 -4.111890e-09 + expected$covM1$Item14[5, ] 4.202913e-02 1.898895e-01 -0.04202914 -0.18988947 3.630675e-02 6.368471e-10 -2.049982e-01 -6.043052e-09 - actual$covM1$Item14[6, ] 3.729742e-09 4.164431e-09 -0.02451524 0.02839026 6.100947e-10 2.429134e-03 -5.656550e-09 -8.503586e-03 + expected$covM1$Item14[6, ] 1.823499e-09 3.766253e-09 -0.02451562 0.02839367 6.368471e-10 2.429647e-03 -4.432486e-09 -8.505792e-03 - actual$covM1$Item14[7, ] -1.124521e+00 -1.345175e+00 1.12452133 1.34517439 -2.049987e-01 -5.656550e-09 1.806375e+00 4.117574e-08 + expected$covM1$Item14[7, ] -1.124525e+00 -1.345177e+00 1.12452534 1.34517724 -2.049982e-01 -4.432486e-09 1.806379e+00 5.740705e-08 - actual$covM1$Item14[8, ] -2.942862e-08 -2.927136e-08 0.01186049 -0.21679608 -4.111890e-09 -8.503586e-03 4.117574e-08 1.219214e-01 + expected$covM1$Item14[8, ] -3.888123e-08 -4.179300e-08 0.01184286 -0.21681332 -6.043052e-09 -8.505792e-03 5.740705e-08 1.219412e-01 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 5.302313e-01 -2.644534e-01 -0.53023131 0.2644534 -3.092289e-01 -2.042164e-08 1.617392e-02 1.191503e-08 + expected$covM1$Item15[1, ] 5.302393e-01 -2.644582e-01 -0.53023929 0.2644583 -3.092356e-01 2.004003e-08 1.617564e-02 -1.733638e-08 - actual$covM1$Item15[2, ] -2.644534e-01 7.204745e-01 0.26445329 -0.7204746 4.833377e-01 1.138957e-08 -1.928810e-01 1.182642e-08 + expected$covM1$Item15[2, ] -2.644582e-01 7.204786e-01 0.26445818 -0.7204786 4.833458e-01 -8.999719e-09 -1.928879e-01 1.996372e-08 - actual$covM1$Item15[3, ] -5.302313e-01 2.644533e-01 0.82554085 -0.3536748 3.092288e-01 -8.317020e-02 -1.617388e-02 -1.895612e-02 + expected$covM1$Item15[3, ] -5.302393e-01 2.644582e-01 0.82555201 -0.3536826 3.092355e-01 -8.317206e-02 -1.617563e-02 -1.895604e-02 - actual$covM1$Item15[4, ] 2.644534e-01 -7.204746e-01 -0.35367482 1.3143090 -4.833377e-01 1.964377e-01 1.928810e-01 -1.204128e-01 + expected$covM1$Item15[4, ] 2.644583e-01 -7.204786e-01 -0.35368255 1.3143115 -4.833458e-01 1.964403e-01 1.928879e-01 -1.204172e-01 - actual$covM1$Item15[5, ] -3.092289e-01 4.833377e-01 0.30922884 -0.4833377 3.699492e-01 1.258319e-08 -1.156650e-01 2.986947e-09 + expected$covM1$Item15[5, ] -3.092356e-01 4.833458e-01 0.30923555 -0.4833458 3.699587e-01 -1.113081e-08 -1.156706e-01 1.643875e-08 - actual$covM1$Item15[6, ] -2.042164e-08 1.138957e-08 -0.08317020 0.1964377 1.258319e-08 7.807331e-02 -1.001069e-09 -3.445793e-02 + expected$covM1$Item15[6, ] 2.004003e-08 -8.999719e-09 -0.08317206 0.1964403 -1.113081e-08 7.807525e-02 2.988126e-10 -3.445980e-02 - actual$covM1$Item15[7, ] 1.617392e-02 -1.928810e-01 -0.01617388 0.1928810 -1.156650e-01 -1.001069e-09 6.109991e-02 -5.216054e-09 + expected$covM1$Item15[7, ] 1.617564e-02 -1.928879e-01 -0.01617563 0.1928879 -1.156706e-01 2.988126e-10 6.110370e-02 -4.082579e-09 - actual$covM1$Item15[8, ] 1.191503e-08 1.182642e-08 -0.01895612 -0.1204128 2.986947e-09 -3.445793e-02 -5.216054e-09 3.153232e-02 + expected$covM1$Item15[8, ] -1.733638e-08 1.996372e-08 -0.01895604 -0.1204172 1.643875e-08 -3.445980e-02 -4.082579e-09 3.153450e-02 ── Failure ('test-difNLR.R:41:3'): fit 3PL model on generated data ───────────── `fit8a` (`actual`) not equal to `fit8a_gen` (`expected`). actual$Sval | expected$Sval [1] 2.624045230 | 2.624045230 [1] [2] 0.779223395 - 0.779223397 [2] [3] 13.556859010 - 13.556859018 [3] [4] 4.314026741 - 4.314026732 [4] [5] 10.801763321 - 10.801763325 [5] [6] 4.005622390 | 4.005622390 [6] [7] 0.983672846 | 0.983672846 [7] [8] 13.659198243 - 13.659198240 [8] [9] 0.766417032 - 0.766463638 [9] [10] 1.541969963 | 1.541969963 [10] ... ... ... and 5 more ... actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.132310618 - 0.132310711 [1] [2] 1.622656403 - 1.622656486 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[2]][7:10]`: 0.000000000 0.000000000 0.000000000 0.868793526 `expected$nlrPAR[[2]][7:10]`: 0.000000000 0.000000000 0.000000000 0.868793502 actual$nlrPAR[[3]] | expected$nlrPAR[[3]] [1] -2.41040449 - -2.41036223 [1] [2] 5.31304162 - 5.31291366 [2] [3] -3.95700276 - -3.95713406 [3] [4] -2.03336174 - -2.03318734 [4] [5] 0.03865168 - 0.03865139 [5] [6] 0.06158276 - 0.06158324 [6] [7] 0.30963330 - 0.30963420 [7] [8] 1.00000000 | 1.00000000 [8] `actual$nlrPAR[[4]][1:5]`: -0.8436102 1.4588217 0.0000000 0.0000000 0.0000000 `expected$nlrPAR[[4]][1:5]`: -0.8435925 1.4588090 0.0000000 0.0000000 0.0000000 `actual$nlrPAR[[4]][6:10]`: 0.0000000 0.0000000 0.0000000 0.0000784 1.0000000 `expected$nlrPAR[[4]][6:10]`: 0.0000000 0.0000000 0.0000000 0.0000736 1.0000000 actual$nlrPAR[[5]] | expected$nlrPAR[[5]] [1] 4.18121655 - 4.18127413 [1] [2] 6.50241655 - 6.50250955 [2] [3] -2.95534692 - -2.95535777 [3] [4] -4.90728759 - -4.90721516 [4] [5] 0.23504651 - 0.23504750 [5] [6] 0.02067715 - 0.02071354 [6] [7] 0.83083861 - 0.83083813 [7] [8] 0.76290458 - 0.76289216 [8] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.92730642 - -1.92732168 [1] [2] 1.95568666 - 1.95568557 [2] [3] 0.54040400 - 0.54041899 [3] [4] 0.22343628 - 0.22344093 [4] [5] 0.05494766 - 0.05494816 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.59599554 - 0.59599799 [7] [8] 0.26667335 - 0.26667318 [8] `actual$nlrPAR[[9]][1:5]`: 2.1874913 1.8666337 0.0000000 0.0000000 0.0000000 `expected$nlrPAR[[9]][1:5]`: 2.1876027 1.8667190 0.0000000 0.0000000 0.0000000 `actual$nlrPAR[[9]][7:10]`: 0.0000000 0.0000000 0.0000000 0.9238041 `expected$nlrPAR[[9]][7:10]`: 0.0000000 0.0000000 0.0000000 0.9237971 actual$nlrPAR[[11]] | expected$nlrPAR[[11]] [1] 0.03737230 - 0.03737697 [1] [2] 1.11043304 - 1.11043222 [2] [3] 3.31271962 - 3.31271166 [3] [4] 1.39490088 - 1.39489967 [4] [5] 0.34452785 - 0.34452672 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.96396020 - 0.96396030 [8] `actual$nlrPAR[[12]][1:5]`: -1.4773946 0.9377822 0.0000000 0.0000000 0.0000000 `expected$nlrPAR[[12]][1:5]`: -1.4774051 0.9377869 0.0000000 0.0000000 0.0000000 `actual$nlrPAR[[12]][6:10]`: 0.0000000 0.0000000 0.0000000 0.0686981 1.0000000 `expected$nlrPAR[[12]][6:10]`: 0.0000000 0.0000000 0.0000000 0.0686996 1.0000000 actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] -1.48012093 - -1.48011649 [1] [2] 1.20218573 - 1.20218335 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [6] 0.00000000 | 0.00000000 [6] [7] 0.00000000 | 0.00000000 [7] [8] 0.00000000 | 0.00000000 [8] [9] 0.11933255 - 0.11933200 [9] [10] 1.00000000 | 1.00000000 [10] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -1.127947696 - -1.127947471 [1] [2] 0.861826763 - 0.861826661 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.043633499 - 0.043633453 [9] [10] 1.000000000 | 1.000000000 [10] actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.23857985 - 0.23858035 [1] [2] 0.99796633 - 0.99796601 [2] [3] -0.61823912 - -0.61823963 [3] [4] -0.36811311 - -0.36811279 [4] [5] 0.04833649 - 0.04833624 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 1.00000000 | 1.00000000 [8] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.354155001 - 0.354154949 [1] [2] 0.644889406 - 0.644889443 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrSE[[2]] | expected$nlrSE[[2]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.129095324 - 0.129095311 [9] [10] 0.102664337 - 0.102664331 [10] actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 2.08197644 - 2.08193333 [1] [2] 4.55964263 - 4.55950913 [2] [3] 3.40020397 - 3.40022086 [3] [4] 4.86694772 - 4.86683205 [4] [5] 0.03286267 - 0.03286295 [5] [6] 0.02530047 - 0.02530033 [6] [7] 0.05391172 - 0.05391229 [7] [8] 0.26673929 - 0.26673609 [8] `actual$nlrSE[[4]][1:5]`: 0.3451290 0.5380897 0.0000000 0.0000000 0.0000000 `expected$nlrSE[[4]][1:5]`: 0.3450993 0.5380741 0.0000000 0.0000000 0.0000000 `actual$nlrSE[[4]][6:10]`: 0.0000000 0.0000000 0.0000000 0.0903080 0.1784439 `expected$nlrSE[[4]][6:10]`: 0.0000000 0.0000000 0.0000000 0.0903044 0.1784459 actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 2.17374834 - 2.17377934 [1] [2] 3.57331092 - 3.57336143 [2] [3] 2.30079101 - 2.30082517 [3] [4] 3.77488494 - 3.77495122 [4] [5] 0.09626770 - 0.09626712 [5] [6] 0.34244722 - 0.34237409 [6] [7] 0.04395854 - 0.04395839 [7] [8] 0.10750890 - 0.10749577 [8] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.936287526 - 0.936290467 [1] [2] 1.250717134 - 1.250715471 [2] [3] 1.696316621 - 1.696319147 [3] [4] 2.726401063 - 2.726403330 [4] [5] 0.055783740 - 0.055783550 [5] [6] 0.053430928 - 0.053430868 [6] [7] 0.199068482 - 0.199070235 [7] [8] 0.122651236 - 0.122650926 [8] `actual$nlrSE[[9]][1:5]`: 0.5088733 0.7877224 0.0000000 0.0000000 0.0000000 `expected$nlrSE[[9]][1:5]`: 0.5088938 0.7877396 0.0000000 0.0000000 0.0000000 `actual$nlrSE[[9]][6:10]`: 0.0000000 0.0000000 0.0000000 0.3300084 0.0473500 `expected$nlrSE[[9]][6:10]`: 0.0000000 0.0000000 0.0000000 0.3299922 0.0473474 actual$nlrSE[[11]] | expected$nlrSE[[11]] [1] 0.883592587 - 0.883592269 [1] [2] 1.347713298 - 1.347712746 [2] [3] 1.430917874 - 1.430916096 [3] [4] 1.885353976 - 1.885353185 [4] [5] 0.351554727 - 0.351556759 [5] [6] 0.381458962 - 0.381459107 [6] [7] 0.271433419 - 0.271433025 [7] [8] 0.046789297 - 0.046789330 [8] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.79559781 - 0.79559599 [1] [2] 0.86559854 - 0.86559778 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrSE[[12]] | expected$nlrSE[[12]] [6] 0.00000000 | 0.00000000 [6] [7] 0.00000000 | 0.00000000 [7] [8] 0.00000000 | 0.00000000 [8] [9] 0.14040395 - 0.14040208 [9] [10] 0.85025040 - 0.85024612 [10] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.59964335 - 0.59964322 [1] [2] 0.76292520 - 0.76292503 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrSE[[13]] | expected$nlrSE[[13]] [6] 0.00000000 | 0.00000000 [6] [7] 0.00000000 | 0.00000000 [7] [8] 0.00000000 | 0.00000000 [8] [9] 0.09756602 - 0.09756645 [9] [10] 0.43922676 - 0.43922759 [10] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.767663745 - 0.767663836 [1] [2] 0.870991025 - 0.870990972 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrSE[[14]] | expected$nlrSE[[14]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.197834634 - 0.197834689 [9] [10] 0.808048448 - 0.808048489 [10] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.869915573 - 0.869915523 [1] [2] 1.242320513 - 1.242320792 [2] [3] 1.570922159 - 1.570922057 [3] [4] 1.974082354 - 1.974082716 [4] [5] 0.623829941 - 0.623830507 [5] [6] 0.866585925 - 0.866585945 [6] [7] 0.363794573 - 0.363794785 [7] [8] 1.344393887 - 1.344394060 [8] `actual$parM0$Item2`: 0.132310618 1.622656403 0.000000000 0.868793526 `expected$parM0$Item2`: 0.132310711 1.622656486 0.000000000 0.868793502 `actual$parM0$Item3`: -2.439318371 1.081887198 0.000447073 1.000000000 `expected$parM0$Item3`: -2.439318898 1.081887365 0.000447109 1.000000000 `actual$parM0$Item4`: -0.8436102 1.4588217 0.0000784 1.0000000 `expected$parM0$Item4`: -0.8435925 1.4588090 0.0000736 1.0000000 `actual$parM0$Item8`: -1.585301266 1.845801934 0.019490423 0.438053885 `expected$parM0$Item8`: -1.585301574 1.845806448 0.019490510 0.438053284 `actual$parM0$Item9`: 2.1874913 1.8666337 0.0000000 0.9238041 `expected$parM0$Item9`: 2.1876027 1.8667190 0.0000000 0.9237971 `actual$parM0$Item12`: -1.4773946 0.9377822 0.0686981 1.0000000 `expected$parM0$Item12`: -1.4774051 0.9377869 0.0686996 1.0000000 `actual$parM0$Item13`: -1.48012093 1.20218573 0.11933255 1.00000000 `expected$parM0$Item13`: -1.48011649 1.20218335 0.11933200 1.00000000 `actual$parM0$Item14`: -1.127947696 0.861826763 0.043633499 1.000000000 `expected$parM0$Item14`: -1.127947471 0.861826661 0.043633453 1.000000000 `actual$parM0$Item15`: -0.025345272 0.760249634 0.000000000 1.000000000 `expected$parM0$Item15`: -0.025345261 0.760249633 0.000000000 1.000000000 `actual$seM0$Item2`: 0.354155001 0.644889406 0.129095324 0.102664337 `expected$seM0$Item2`: 0.354154949 0.644889443 0.129095311 0.102664331 `actual$seM0$Item3`: 0.76418172 0.71194757 0.05864713 1.02670695 `expected$seM0$Item3`: 0.76418189 0.71194436 0.05864692 1.02670329 `actual$seM0$Item4`: 0.3451290 0.5380897 0.0903080 0.1784439 `expected$seM0$Item4`: 0.3450993 0.5380741 0.0903044 0.1784459 `actual$seM0$Item8`: 0.733371281 1.075870428 0.043051378 0.130856869 `expected$seM0$Item8`: 0.733372024 1.075872588 0.043051289 0.130856272 `actual$seM0$Item9`: 0.5088733 0.7877224 0.3300084 0.0473500 `expected$seM0$Item9`: 0.5088938 0.7877396 0.3299922 0.0473474 `actual$seM0$Item12`: 0.79559781 0.86559854 0.14040395 0.85025040 `expected$seM0$Item12`: 0.79559599 0.86559778 0.14040208 0.85024612 `actual$seM0$Item13`: 0.59964335 0.76292520 0.09756602 0.43922676 `expected$seM0$Item13`: 0.59964322 0.76292503 0.09756645 0.43922759 `actual$seM0$Item14`: 0.767663745 0.870991025 0.197834634 0.808048448 `expected$seM0$Item14`: 0.767663836 0.870990972 0.197834689 0.808048489 `actual$seM0$Item15`: 0.761355416 0.964272369 0.584253214 0.509527993 `expected$seM0$Item15`: 0.761355249 0.964272591 0.584253551 0.509527895 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] [,4] - actual$covM0$Item2[1, ] 0.12542576 -0.01278139 -0.022252784 -0.014975897 + expected$covM0$Item2[1, ] 0.12542573 -0.01278133 -0.022252771 -0.014975897 - actual$covM0$Item2[2, ] -0.01278139 0.41588235 0.069011387 -0.052192381 + expected$covM0$Item2[2, ] -0.01278133 0.41588239 0.069011382 -0.052192385 - actual$covM0$Item2[3, ] -0.02225278 0.06901139 0.016665603 -0.006947406 + expected$covM0$Item2[3, ] -0.02225277 0.06901138 0.016665599 -0.006947406 - actual$covM0$Item2[4, ] -0.01497590 -0.05219238 -0.006947406 0.010539966 + expected$covM0$Item2[4, ] -0.01497590 -0.05219239 -0.006947406 0.010539965 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] - actual$covM0$Item3[1, ] 0.583973694 0.14416246 -0.003896199 -0.49900210 + expected$covM0$Item3[1, ] 0.583973967 0.14416149 -0.003896302 -0.49900111 - actual$covM0$Item3[2, ] 0.144162463 0.50686934 0.036318037 -0.66108817 + expected$covM0$Item3[2, ] 0.144161489 0.50686477 0.036317688 -0.66108225 - actual$covM0$Item3[3, ] -0.003896199 0.03631804 0.003439485 -0.04078659 + expected$covM0$Item3[3, ] -0.003896302 0.03631769 0.003439461 -0.04078612 - actual$covM0$Item3[4, ] -0.499002101 -0.66108817 -0.040786586 1.05412716 + expected$covM0$Item3[4, ] -0.499001106 -0.66108225 -0.040786120 1.05411964 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] [,4] - actual$covM0$Item4[1, ] 0.11911400 -0.05889298 -0.020519839 -0.010277084 + expected$covM0$Item4[1, ] 0.11909355 -0.05886819 -0.020514867 -0.010281529 - actual$covM0$Item4[2, ] -0.05889298 0.28954047 0.040118460 -0.080181954 + expected$covM0$Item4[2, ] -0.05886819 0.28952376 0.040115369 -0.080181334 - actual$covM0$Item4[3, ] -0.02051984 0.04011846 0.008155541 -0.009050468 + expected$covM0$Item4[3, ] -0.02051487 0.04011537 0.008154889 -0.009050355 - actual$covM0$Item4[4, ] -0.01027708 -0.08018195 -0.009050468 0.031842231 + expected$covM0$Item4[4, ] -0.01028153 -0.08018133 -0.009050355 0.031842955 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] [,4] - actual$covM0$Item8[1, ] 0.537833436 -0.46625314 -0.024679607 0.006556814 + expected$covM0$Item8[1, ] 0.537834525 -0.46625559 -0.024679589 0.006556899 - actual$covM0$Item8[2, ] -0.466253135 1.15749718 0.034093400 -0.111371662 + expected$covM0$Item8[2, ] -0.466255587 1.15750182 0.034093364 -0.111371303 - actual$covM0$Item8[3, ] -0.024679607 0.03409340 0.001853421 -0.002531480 + expected$covM0$Item8[3, ] -0.024679589 0.03409336 0.001853413 -0.002531458 - actual$covM0$Item8[4, ] 0.006556814 -0.11137166 -0.002531480 0.017123520 + expected$covM0$Item8[4, ] 0.006556899 -0.11137130 -0.002531458 0.017123364 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] - actual$covM0$Item9[1, ] 0.258952046 0.20355235 0.007619887 -0.017315216 + expected$covM0$Item9[1, ] 0.258972877 0.20359461 0.007632177 -0.017315587 - actual$covM0$Item9[2, ] 0.203552346 0.62050654 0.223874303 -0.026917066 + expected$covM0$Item9[2, ] 0.203594610 0.62053372 0.223866510 -0.026915586 - actual$covM0$Item9[3, ] 0.007619887 0.22387430 0.108905529 -0.007710958 + expected$covM0$Item9[3, ] 0.007632177 0.22386651 0.108894875 -0.007709871 - actual$covM0$Item9[4, ] -0.017315216 -0.02691707 -0.007710958 0.002242024 + expected$covM0$Item9[4, ] -0.017315587 -0.02691559 -0.007709871 0.002241774 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] - actual$covM0$Item12[1, ] 0.63297588 0.1417131 -0.01549104 -0.37969185 + expected$covM0$Item12[1, ] 0.63297298 0.1417089 -0.01549149 -0.37968687 - actual$covM0$Item12[2, ] 0.14171305 0.7492608 0.10998535 -0.67370349 + expected$covM0$Item12[2, ] 0.14170892 0.7492595 0.10998366 -0.67369900 - actual$covM0$Item12[3, ] -0.01549104 0.1099853 0.01971327 -0.08666656 + expected$covM0$Item12[3, ] -0.01549149 0.1099837 0.01971274 -0.08666472 - actual$covM0$Item12[4, ] -0.37969185 -0.6737035 -0.08666656 0.72292575 + expected$covM0$Item12[4, ] -0.37968687 -0.6736990 -0.08666472 0.72291846 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.35957215 -0.09545526 -0.032171684 -0.06564533 + expected$covM0$Item13[1, ] 0.35957199 -0.09545406 -0.032171699 -0.06564593 - actual$covM0$Item13[2, ] -0.09545526 0.58205487 0.063523902 -0.29286824 + expected$covM0$Item13[2, ] -0.09545406 0.58205460 0.063524212 -0.29286885 - actual$covM0$Item13[3, ] -0.03217168 0.06352390 0.009519128 -0.02663178 + expected$covM0$Item13[3, ] -0.03217170 0.06352421 0.009519213 -0.02663199 - actual$covM0$Item13[4, ] -0.06564533 -0.29286824 -0.026631779 0.19292015 + expected$covM0$Item13[4, ] -0.06564593 -0.29286885 -0.026631988 0.19292087 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] [,4] - actual$covM0$Item14[1, ] 0.58930762 0.1418792 -0.01755162 -0.3372519 + expected$covM0$Item14[1, ] 0.58930777 0.1418793 -0.01755162 -0.3372520 - actual$covM0$Item14[2, ] 0.14187924 0.7586254 0.15893343 -0.6518881 + expected$covM0$Item14[2, ] 0.14187926 0.7586253 0.15893347 -0.6518881 - actual$covM0$Item14[3, ] -0.01755162 0.1589334 0.03913854 -0.1217244 + expected$covM0$Item14[3, ] -0.01755162 0.1589335 0.03913856 -0.1217245 - actual$covM0$Item14[4, ] -0.33725188 -0.6518881 -0.12172442 0.6529423 + expected$covM0$Item14[4, ] -0.33725196 -0.6518881 -0.12172446 0.6529424 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.57966207 -0.1850447 -0.2303063 -0.02402087 + expected$covM0$Item15[1, ] 0.57966181 -0.1850457 -0.2303068 -0.02402047 - actual$covM0$Item15[2, ] -0.18504472 0.9298212 0.5350702 -0.46183491 + expected$covM0$Item15[2, ] -0.18504570 0.9298216 0.5350707 -0.46183487 - actual$covM0$Item15[3, ] -0.23030629 0.5350702 0.3413518 -0.24354468 + expected$covM0$Item15[3, ] -0.23030682 0.5350707 0.3413522 -0.24354475 - actual$covM0$Item15[4, ] -0.02402087 -0.4618349 -0.2435447 0.25961878 + expected$covM0$Item15[4, ] -0.02402047 -0.4618349 -0.2435447 0.25961868 actual$parM1$Item1 | expected$parM1$Item1 [1] -1.213281886 - -1.213281887 [1] [2] 1.090222469 | 1.090222469 [2] [3] -0.820022942 - -0.820022975 [3] [4] 0.717381953 - 0.717381977 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.045505337 - 0.045505340 [6] [7] 1.000000000 | 1.000000000 [7] [8] 1.000000000 | 1.000000000 [8] actual$parM1$Item2 | expected$parM1$Item2 [1] 0.37080700 - 0.37081346 [1] [2] 1.71838620 - 1.71838263 [2] [3] -0.42413546 - -0.42414322 [3] [4] -0.12333739 - -0.12333561 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.80580425 - 0.80580318 [7] [8] 0.92687521 - 0.92687567 [8] actual$parM1$Item3 | expected$parM1$Item3 [1] -2.41040449 - -2.41036223 [1] [2] 5.31304162 - 5.31291366 [2] [3] -3.95700276 - -3.95713406 [3] [4] -2.03336174 - -2.03318734 [4] [5] 0.03865168 - 0.03865139 [5] [6] 0.06158276 - 0.06158324 [6] [7] 0.30963330 - 0.30963420 [7] [8] 1.00000000 | 1.00000000 [8] actual$parM1$Item4 | expected$parM1$Item4 [1] -1.587647172 - -1.587646705 [1] [2] 1.956727026 - 1.956726044 [2] [3] 1.028733799 - 1.028733363 [3] [4] -0.010917697 - -0.010915545 [4] [5] 0.115447928 - 0.115447869 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.945360294 - 0.945360448 [7] [8] 0.896906641 - 0.896906501 [8] actual$parM1$Item5 | expected$parM1$Item5 [1] 4.18121655 - 4.18127413 [1] [2] 6.50241655 - 6.50250955 [2] [3] -2.95534692 - -2.95535777 [3] [4] -4.90728759 - -4.90721516 [4] [5] 0.23504651 - 0.23504750 [5] [6] 0.02067715 - 0.02071354 [6] [7] 0.83083861 - 0.83083813 [7] [8] 0.76290458 - 0.76289216 [8] actual$parM1$Item7 | expected$parM1$Item7 [1] -1.986605416 - -1.986605588 [1] [2] 1.216326882 - 1.216326985 [2] [3] 0.792552055 - 0.792552234 [3] [4] -0.264104482 - -0.264104599 [4] [5] 0.092441349 - 0.092441363 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] [8] 1.000000000 | 1.000000000 [8] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.92730642 - -1.92732168 [1] [2] 1.95568666 - 1.95568557 [2] [3] 0.54040400 - 0.54041899 [3] [4] 0.22343628 - 0.22344093 [4] [5] 0.05494766 - 0.05494816 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.59599554 - 0.59599799 [7] [8] 0.26667335 - 0.26667318 [8] actual$parM1$Item9 | expected$parM1$Item9 [1] 2.8207908 - 2.8278095 [1] [2] 2.4723434 - 2.4793520 [2] [3] -0.8339755 - -0.8415253 [3] [4] -0.8272829 - -0.8346896 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.8881682 - 0.8879996 [7] [8] 0.9431250 - 0.9431170 [8] actual$parM1$Item11 | expected$parM1$Item11 [1] 0.03737230 - 0.03737697 [1] [2] 1.11043304 - 1.11043222 [2] [3] 3.31271962 - 3.31271166 [3] [4] 1.39490088 - 1.39489967 [4] [5] 0.34452785 - 0.34452672 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.96396020 - 0.96396030 [8] actual$parM1$Item12 | expected$parM1$Item12 [1] -1.8596827 - -1.8596065 [1] [2] 0.9398674 - 0.9398290 [2] [3] 0.6560592 - 0.6559791 [3] [4] 0.0535139 - 0.0535531 [4] [5] 0.0722964 - 0.0722886 [5] [6] 0.0727872 - 0.0727884 [6] [7] 1.0000000 | 1.0000000 [7] [8] 1.0000000 | 1.0000000 [8] actual$parM1$Item13 | expected$parM1$Item13 [1] -0.9398294 - -0.9394927 [1] [2] 0.9779940 - 0.9779451 [2] [3] -1.0119278 - -1.0122350 [3] [4] 0.4601580 - 0.4599877 [4] [5] 0.0571374 - 0.0571024 [5] [6] 0.1393998 - 0.1393931 [6] [7] 1.0000000 | 1.0000000 [7] [8] 1.0000000 | 1.0000000 [8] actual$parM1$Item14 | expected$parM1$Item14 [1] -0.498312290 - -0.498257528 [1] [2] 0.876719528 - 0.876749152 [2] [3] -1.106108901 - -1.106163606 [3] [4] 0.319520569 - 0.319490912 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.109243689 - 0.109243683 [6] [7] 0.770121076 - 0.770097167 [7] [8] 1.000000000 | 1.000000000 [8] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.23857985 - 0.23858035 [1] [2] 0.99796633 - 0.99796601 [2] [3] -0.61823912 - -0.61823963 [3] [4] -0.36811311 - -0.36811279 [4] [5] 0.04833649 - 0.04833624 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 1.00000000 | 1.00000000 [8] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.540448394 - 0.540450222 [1] [2] 1.061527801 - 1.061530086 [2] [3] 0.716132634 - 0.716134160 [3] [4] 1.339952554 - 1.339953196 [4] [5] 0.210400080 - 0.210401591 [5] [6] 0.159026052 - 0.159026171 [6] [7] 0.126541225 - 0.126541291 [7] [8] 0.156789481 - 0.156789728 [8] actual$seM1$Item3 | expected$seM1$Item3 [1] 2.08197644 - 2.08193333 [1] [2] 4.55964263 - 4.55950913 [2] [3] 3.40020397 - 3.40022086 [3] [4] 4.86694772 - 4.86683205 [4] [5] 0.03286267 - 0.03286295 [5] [6] 0.02530047 - 0.02530033 [6] [7] 0.05391172 - 0.05391229 [7] [8] 0.26673929 - 0.26673609 [8] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.678656785 - 0.678656577 [1] [2] 1.000144212 - 1.000143898 [2] [3] 0.805279238 - 0.805278109 [3] [4] 1.292243737 - 1.292248660 [4] [5] 0.078176592 - 0.078176635 [5] [6] 0.094542430 - 0.094542439 [6] [7] 0.216273375 - 0.216273549 [7] [8] 0.134868678 - 0.134869050 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 2.17374834 - 2.17377934 [1] [2] 3.57331092 - 3.57336143 [2] [3] 2.30079101 - 2.30082517 [3] [4] 3.77488494 - 3.77495122 [4] [5] 0.09626770 - 0.09626712 [5] [6] 0.34244722 - 0.34237409 [6] [7] 0.04395854 - 0.04395839 [7] [8] 0.10750890 - 0.10749577 [8] actual$seM1$Item7 | expected$seM1$Item7 [1] 1.011921302 - 1.011921293 [1] [2] 1.246591337 - 1.246591233 [2] [3] 1.284564694 - 1.284564674 [3] [4] 1.560928896 - 1.560928868 [4] [5] 0.119261732 - 0.119261707 [5] [6] 0.193728545 - 0.193728556 [6] [7] 0.997119860 - 0.997119669 [7] [8] 0.777411000 - 0.777411038 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.936287526 - 0.936290467 [1] [2] 1.250717134 - 1.250715471 [2] [3] 1.696316621 - 1.696319147 [3] [4] 2.726401063 - 2.726403330 [4] [5] 0.055783740 - 0.055783550 [5] [6] 0.053430928 - 0.053430868 [6] [7] 0.199068482 - 0.199070235 [7] [8] 0.122651236 - 0.122650926 [8] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.935020 - 0.937982 [1] [2] 1.356051 - 1.357788 [2] [3] 1.163561 - 1.165911 [3] [4] 1.716158 - 1.717501 [4] [5] 0.382402 - 0.380845 [5] [6] 0.516453 - 0.516593 [6] [7] 0.052331 - 0.052217 [7] [8] 0.077717 - 0.077744 [8] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.883592587 - 0.883592269 [1] [2] 1.347713298 - 1.347712746 [2] [3] 1.430917874 - 1.430916096 [3] [4] 1.885353976 - 1.885353185 [4] [5] 0.351554727 - 0.351556759 [5] [6] 0.381458962 - 0.381459107 [6] [7] 0.271433419 - 0.271433025 [7] [8] 0.046789297 - 0.046789330 [8] actual$seM1$Item12 | expected$seM1$Item12 [1] 1.76838511 - 1.76846605 [1] [2] 1.62844204 - 1.62846075 [2] [3] 1.95582005 - 1.95589365 [3] [4] 1.91813024 - 1.91814539 [4] [5] 0.19631716 - 0.19633656 [5] [6] 0.18560772 - 0.18560708 [6] [7] 2.17581641 - 2.17592612 [7] [8] 0.72608234 - 0.72608247 [8] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.8980062 - 0.8979318 [1] [2] 1.1935929 - 1.1935451 [2] [3] 1.2494734 - 1.2494657 [3] [4] 1.5781018 - 1.5780945 [4] [5] 0.2751832 - 0.2752573 [5] [6] 0.0883013 - 0.0883157 [6] [7] 0.7925655 - 0.7924515 [7] [8] 0.4912428 - 0.4914152 [8] actual$seM1$Item14 | expected$seM1$Item14 [1] 1.131675374 - 1.131649603 [1] [2] 1.555734687 - 1.555724035 [2] [3] 1.409148222 - 1.409127564 [3] [4] 1.861946603 - 1.861937910 [4] [5] 0.442975061 - 0.442959681 [5] [6] 0.122164991 - 0.122165011 [6] [7] 0.738079054 - 0.737985194 [7] [8] 0.621939241 - 0.621939341 [8] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.869915573 - 0.869915523 [1] [2] 1.242320513 - 1.242320792 [2] [3] 1.570922159 - 1.570922057 [3] [4] 1.974082354 - 1.974082716 [4] [5] 0.623829941 - 0.623830507 [5] [6] 0.866585925 - 0.866585945 [6] [7] 0.363794573 - 0.363794785 [7] [8] 1.344393887 - 1.344394060 [8] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item1[1, ] 5.007853e-01 -3.873491e-02 -0.50078534 0.03873490 -5.103529e-02 -6.665835e-11 -1.544318e-01 4.037189e-09 + expected$covM1$Item1[1, ] 5.007853e-01 -3.873491e-02 -0.50078533 0.03873492 -5.103529e-02 3.031151e-10 -1.544318e-01 1.196627e-09 - actual$covM1$Item1[2, ] -3.873491e-02 8.804858e-01 0.03873491 -0.88048577 1.462568e-01 -9.476373e-10 -5.526591e-01 -4.949857e-10 + expected$covM1$Item1[2, ] -3.873491e-02 8.804858e-01 0.03873492 -0.88048578 1.462568e-01 -6.396321e-10 -5.526591e-01 -5.277624e-10 - actual$covM1$Item1[3, ] -5.007853e-01 3.873491e-02 0.90574996 -0.36780102 5.103529e-02 -3.070502e-02 1.544318e-01 1.714369e-02 + expected$covM1$Item1[3, ] -5.007853e-01 3.873492e-02 0.90574999 -0.36780108 5.103530e-02 -3.070502e-02 1.544318e-01 1.714369e-02 - actual$covM1$Item1[4, ] 3.873490e-02 -8.804858e-01 -0.36780102 1.53411774 -1.462568e-01 3.507637e-02 5.526591e-01 -1.733342e-01 + expected$covM1$Item1[4, ] 3.873492e-02 -8.804858e-01 -0.36780108 1.53411775 -1.462568e-01 3.507637e-02 5.526591e-01 -1.733342e-01 - actual$covM1$Item1[5, ] -5.103529e-02 1.462568e-01 0.05103529 -0.14625680 3.058165e-02 -1.477287e-10 -7.922483e-02 -4.410645e-10 + expected$covM1$Item1[5, ] -5.103529e-02 1.462568e-01 0.05103530 -0.14625680 3.058166e-02 -1.308224e-10 -7.922483e-02 -1.925294e-10 - actual$covM1$Item1[6, ] -6.665835e-11 -9.476373e-10 -0.03070502 0.03507637 -1.477287e-10 3.920473e-03 6.336128e-10 -6.937242e-03 + expected$covM1$Item1[6, ] 3.031151e-10 -6.396321e-10 -0.03070502 0.03507637 -1.308224e-10 3.920473e-03 3.029993e-10 -6.937241e-03 - actual$covM1$Item1[7, ] -1.544318e-01 -5.526591e-01 0.15443184 0.55265909 -7.922483e-02 6.336128e-10 4.226851e-01 -1.127421e-09 + expected$covM1$Item1[7, ] -1.544318e-01 -5.526591e-01 0.15443182 0.55265909 -7.922483e-02 3.029993e-10 4.226851e-01 -8.899036e-11 - actual$covM1$Item1[8, ] 4.037189e-09 -4.949857e-10 0.01714369 -0.17333425 -4.410645e-10 -6.937242e-03 -1.127421e-09 7.561601e-02 + expected$covM1$Item1[8, ] 1.196627e-09 -5.277624e-10 0.01714369 -0.17333424 -1.925294e-10 -6.937241e-03 -8.899036e-11 7.561601e-02 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item2[1, ] 2.920845e-01 -3.199023e-03 -0.292084452 0.003199033 -5.147273e-02 -2.723005e-11 -2.995311e-02 -2.347001e-09 + expected$covM1$Item2[1, ] 2.920864e-01 -3.198543e-03 -0.292086463 0.003198526 -5.147315e-02 -3.271648e-10 -2.995325e-02 3.356259e-09 - actual$covM1$Item2[2, ] -3.199023e-03 1.126841e+00 0.003199041 -1.126841745 1.862347e-01 -6.641904e-08 -1.043703e-01 8.089842e-08 + expected$covM1$Item2[2, ] -3.198543e-03 1.126846e+00 0.003198656 -1.126845803 1.862366e-01 3.522595e-08 -1.043706e-01 -4.564817e-08 - actual$covM1$Item2[3, ] -2.920845e-01 3.199041e-03 0.512845949 -0.046431906 5.147273e-02 -3.890378e-02 2.995311e-02 -2.857852e-02 + expected$covM1$Item2[3, ] -2.920865e-01 3.198656e-03 0.512848135 -0.046431764 5.147317e-02 -3.890387e-02 2.995324e-02 -2.857854e-02 - actual$covM1$Item2[4, ] 3.199033e-03 -1.126842e+00 -0.046431906 1.795472848 -1.862348e-01 1.069346e-01 1.043703e-01 -1.002398e-01 + expected$covM1$Item2[4, ] 3.198526e-03 -1.126846e+00 -0.046431764 1.795474569 -1.862365e-01 1.069345e-01 1.043706e-01 -1.002397e-01 - actual$covM1$Item2[5, ] -5.147273e-02 1.862347e-01 0.051472733 -0.186234775 4.426819e-02 -1.093953e-08 -1.393825e-02 1.373951e-08 + expected$covM1$Item2[5, ] -5.147315e-02 1.862366e-01 0.051473171 -0.186236543 4.426883e-02 5.861502e-09 -1.393838e-02 -8.107187e-09 - actual$covM1$Item2[6, ] -2.723005e-11 -6.641904e-08 -0.038903782 0.106934650 -1.093953e-08 2.528929e-02 6.174213e-09 -1.272103e-02 + expected$covM1$Item2[6, ] -3.271648e-10 3.522595e-08 -0.038903870 0.106934518 5.861502e-09 2.528932e-02 -3.239166e-09 -1.272106e-02 - actual$covM1$Item2[7, ] -2.995311e-02 -1.043703e-01 0.029953109 0.104370332 -1.393825e-02 6.174213e-09 1.601268e-02 -7.273687e-09 + expected$covM1$Item2[7, ] -2.995325e-02 -1.043706e-01 0.029953242 0.104370609 -1.393838e-02 -3.239166e-09 1.601270e-02 3.893843e-09 - actual$covM1$Item2[8, ] -2.347001e-09 8.089842e-08 -0.028578524 -0.100239812 1.373951e-08 -1.272103e-02 -7.273687e-09 2.458294e-02 + expected$covM1$Item2[8, ] 3.356259e-09 -4.564817e-08 -0.028578543 -0.100239739 -8.107187e-09 -1.272106e-02 3.893843e-09 2.458302e-02 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 4.334626e+00 -8.249812e+00 -4.33462451 8.24981115 -3.841539e-02 -3.203903e-09 2.162916e-02 -3.076136e-08 + expected$covM1$Item3[1, ] 4.334446e+00 -8.249372e+00 -4.33444541 8.24937142 -3.841561e-02 -2.057220e-09 2.162888e-02 -7.358697e-08 - actual$covM1$Item3[2, ] -8.249812e+00 2.079034e+01 8.24980869 -20.79033938 6.465402e-02 7.472763e-09 -1.148981e-01 9.156664e-08 + expected$covM1$Item3[2, ] -8.249372e+00 2.078912e+01 8.24936941 -20.78912255 6.465406e-02 5.115723e-09 -1.148973e-01 1.849125e-07 - actual$covM1$Item3[3, ] -4.334625e+00 8.249809e+00 11.56138703 -12.72886492 3.841538e-02 -3.024929e-02 -2.162914e-02 3.706771e-01 + expected$covM1$Item3[3, ] -4.334445e+00 8.249369e+00 11.56150188 -12.72859066 3.841560e-02 -3.024918e-02 -2.162887e-02 3.706790e-01 - actual$covM1$Item3[4, ] 8.249811e+00 -2.079034e+01 -12.72886492 23.68718014 -6.465402e-02 1.730726e-02 1.148981e-01 -2.927443e-01 + expected$covM1$Item3[4, ] 8.249371e+00 -2.078912e+01 -12.72859066 23.68605422 -6.465406e-02 1.730713e-02 1.148973e-01 -2.927432e-01 - actual$covM1$Item3[5, ] -3.841539e-02 6.465402e-02 0.03841538 -0.06465402 1.079955e-03 2.610878e-11 -2.264707e-04 2.177306e-10 + expected$covM1$Item3[5, ] -3.841561e-02 6.465406e-02 0.03841560 -0.06465406 1.079974e-03 1.623747e-11 -2.264845e-04 5.776202e-10 - actual$covM1$Item3[6, ] -3.203903e-09 7.472763e-09 -0.03024929 0.01730726 2.610878e-11 6.401135e-04 -3.590861e-11 -1.346910e-03 + expected$covM1$Item3[6, ] -2.057220e-09 5.115723e-09 -0.03024918 0.01730713 1.623747e-11 6.401066e-04 -2.765834e-11 -1.346849e-03 - actual$covM1$Item3[7, ] 2.162916e-02 -1.148981e-01 -0.02162914 0.11489808 -2.264707e-04 -3.590861e-11 2.906473e-03 -6.319168e-10 + expected$covM1$Item3[7, ] 2.162888e-02 -1.148973e-01 -0.02162887 0.11489733 -2.264845e-04 -2.765834e-11 2.906535e-03 -1.017198e-09 - actual$covM1$Item3[8, ] -3.076136e-08 9.156664e-08 0.37067707 -0.29274425 2.177306e-10 -1.346910e-03 -6.319168e-10 7.114985e-02 + expected$covM1$Item3[8, ] -7.358697e-08 1.849125e-07 0.37067897 -0.29274324 5.776202e-10 -1.346849e-03 -1.017198e-09 7.114814e-02 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item4[1, ] 4.605750e-01 -4.195114e-01 -0.46057554 0.41950979 -4.240260e-02 -5.125112e-08 1.417469e-02 2.968365e-07 + expected$covM1$Item4[1, ] 4.605747e-01 -4.195110e-01 -0.46057468 0.41951095 -4.240261e-02 -2.729893e-09 1.417466e-02 -3.986183e-08 - actual$covM1$Item4[2, ] -4.195114e-01 1.000288e+00 0.41951264 -1.00028455 5.798113e-02 1.227086e-07 -1.698002e-01 -7.089709e-07 + expected$covM1$Item4[2, ] -4.195110e-01 1.000288e+00 0.41951077 -1.00028781 5.798115e-02 6.925894e-09 -1.698003e-01 9.370473e-08 - actual$covM1$Item4[3, ] -4.605755e-01 4.195126e-01 0.64847465 -0.53978511 4.240267e-02 -2.736934e-02 -1.417490e-02 -1.341895e-02 + expected$covM1$Item4[3, ] -4.605747e-01 4.195108e-01 0.64847283 -0.53978445 4.240260e-02 -2.736931e-02 -1.417463e-02 -1.341862e-02 - actual$covM1$Item4[4, ] 4.195098e-01 -1.000285e+00 -0.53978511 1.66989387 -5.798090e-02 5.789006e-02 1.697995e-01 -8.076625e-02 + expected$covM1$Item4[4, ] 4.195110e-01 -1.000288e+00 -0.53978445 1.66990660 -5.798115e-02 5.789044e-02 1.698003e-01 -8.076784e-02 - actual$covM1$Item4[5, ] -4.240260e-02 5.798113e-02 0.04240267 -0.05798090 6.111580e-03 7.099279e-09 -7.517239e-03 -4.106337e-08 + expected$covM1$Item4[5, ] -4.240261e-02 5.798115e-02 0.04240260 -0.05798115 6.111586e-03 3.903515e-10 -7.517253e-03 5.467317e-09 - actual$covM1$Item4[6, ] -5.125112e-08 1.227086e-07 -0.02736934 0.05789006 7.099279e-09 8.938271e-03 -2.087235e-08 -5.334050e-03 + expected$covM1$Item4[6, ] -2.729893e-09 6.925894e-09 -0.02736931 0.05789044 3.903515e-10 8.938273e-03 -1.210700e-09 -5.334094e-03 - actual$covM1$Item4[7, ] 1.417469e-02 -1.698002e-01 -0.01417490 0.16979954 -7.517239e-03 -2.087235e-08 4.677417e-02 1.204487e-07 + expected$covM1$Item4[7, ] 1.417466e-02 -1.698003e-01 -0.01417463 0.16980031 -7.517253e-03 -1.210700e-09 4.677425e-02 -1.579370e-08 - actual$covM1$Item4[8, ] 2.968365e-07 -7.089709e-07 -0.01341895 -0.08076625 -4.106337e-08 -5.334050e-03 1.204487e-07 1.818956e-02 + expected$covM1$Item4[8, ] -3.986183e-08 9.370473e-08 -0.01341862 -0.08076784 5.467317e-09 -5.334094e-03 -1.579370e-08 1.818966e-02 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 4.725182e+00 7.301494e+00 -4.72518181 -7.30149377 6.520666e-02 3.343273e-08 -4.239310e-02 -5.417823e-09 + expected$covM1$Item5[1, ] 4.725317e+00 7.301706e+00 -4.72531649 -7.30170625 6.520696e-02 -1.977456e-08 -4.239309e-02 -4.307065e-09 - actual$covM1$Item5[2, ] 7.301494e+00 1.276855e+01 -7.30149398 -12.76855050 1.736491e-01 5.109414e-08 -5.343119e-02 -1.019186e-08 + expected$covM1$Item5[2, ] 7.301706e+00 1.276891e+01 -7.30170616 -12.76891174 1.736495e-01 -4.128512e-08 -5.343107e-02 -5.517984e-09 - actual$covM1$Item5[3, ] -4.725182e+00 -7.301494e+00 5.29363925 7.57227166 -6.520666e-02 -4.397291e-02 4.239310e-02 -5.190854e-02 + expected$covM1$Item5[3, ] -4.725316e+00 -7.301706e+00 5.29379647 7.57262360 -6.520696e-02 -4.393674e-02 4.239309e-02 -5.191010e-02 - actual$covM1$Item5[4, ] -7.301494e+00 -1.276855e+01 7.57227166 14.24975631 -1.736491e-01 3.577181e-01 5.343119e-02 -1.019447e-01 + expected$covM1$Item5[4, ] -7.301706e+00 -1.276891e+01 7.57262360 14.25025673 -1.736495e-01 3.576495e-01 5.343107e-02 -1.019333e-01 - actual$covM1$Item5[5, ] 6.520666e-02 1.736491e-01 -0.06520666 -0.17364906 9.267469e-03 4.335484e-10 -3.700523e-04 -1.640380e-10 + expected$covM1$Item5[5, ] 6.520696e-02 1.736495e-01 -0.06520696 -0.17364947 9.267359e-03 -7.991074e-10 -3.700354e-04 -3.646818e-12 - actual$covM1$Item5[6, ] 3.343273e-08 5.109414e-08 -0.04397291 0.35771806 4.335484e-10 1.172701e-01 -3.045584e-10 -1.976854e-02 + expected$covM1$Item5[6, ] -1.977456e-08 -4.128512e-08 -0.04393674 0.35764947 -7.991074e-10 1.172200e-01 9.022373e-11 -1.976028e-02 - actual$covM1$Item5[7, ] -4.239310e-02 -5.343119e-02 0.04239310 0.05343119 -3.700523e-04 -3.045584e-10 1.932353e-03 3.381711e-11 + expected$covM1$Item5[7, ] -4.239309e-02 -5.343107e-02 0.04239309 0.05343107 -3.700354e-04 9.022373e-11 1.932340e-03 4.788357e-11 - actual$covM1$Item5[8, ] -5.417823e-09 -1.019186e-08 -0.05190854 -0.10194468 -1.640380e-10 -1.976854e-02 3.381711e-11 1.155816e-02 + expected$covM1$Item5[8, ] -4.307065e-09 -5.517984e-09 -0.05191010 -0.10193327 -3.646818e-12 -1.976028e-02 4.788357e-11 1.155534e-02 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 1.023985e+00 -1.219229e-01 -1.02398476 0.12192293 -5.249474e-02 4.354011e-09 -3.329611e-01 4.607139e-09 + expected$covM1$Item7[1, ] 1.023985e+00 -1.219231e-01 -1.02398472 0.12192314 -5.249475e-02 -8.295430e-10 -3.329609e-01 1.407954e-08 - actual$covM1$Item7[2, ] -1.219229e-01 1.553990e+00 0.12192292 -1.55398997 1.286466e-01 -6.125015e-09 -1.113128e+00 1.255416e-08 + expected$covM1$Item7[2, ] -1.219231e-01 1.553990e+00 0.12192318 -1.55398973 1.286465e-01 -4.508746e-09 -1.113128e+00 -9.269402e-09 - actual$covM1$Item7[3, ] -1.023985e+00 1.219229e-01 1.65010645 -0.09561595 5.249474e-02 -4.696178e-02 3.329611e-01 -2.645635e-01 + expected$covM1$Item7[3, ] -1.023985e+00 1.219232e-01 1.65010640 -0.09561619 5.249475e-02 -4.696178e-02 3.329609e-01 -2.645635e-01 - actual$covM1$Item7[4, ] 1.219229e-01 -1.553990e+00 -0.09561595 2.43649902 -1.286466e-01 1.638974e-01 1.113128e+00 -6.593165e-01 + expected$covM1$Item7[4, ] 1.219231e-01 -1.553990e+00 -0.09561619 2.43649893 -1.286465e-01 1.638974e-01 1.113128e+00 -6.593166e-01 - actual$covM1$Item7[5, ] -5.249474e-02 1.286466e-01 0.05249474 -0.12864657 1.422336e-02 -6.689628e-10 -7.834378e-02 8.055493e-10 + expected$covM1$Item7[5, ] -5.249475e-02 1.286465e-01 0.05249475 -0.12864653 1.422335e-02 -3.237951e-10 -7.834374e-02 -1.325472e-09 - actual$covM1$Item7[6, ] 4.354011e-09 -6.125015e-09 -0.04696178 0.16389741 -6.689628e-10 3.753075e-02 2.782516e-09 -1.067286e-01 + expected$covM1$Item7[6, ] -8.295430e-10 -4.508746e-09 -0.04696178 0.16389743 -3.237951e-10 3.753075e-02 3.719891e-09 -1.067287e-01 - actual$covM1$Item7[7, ] -3.329611e-01 -1.113128e+00 0.33296111 1.11312822 -7.834378e-02 2.782516e-09 9.942480e-01 -1.130951e-08 + expected$covM1$Item7[7, ] -3.329609e-01 -1.113128e+00 0.33296089 1.11312790 -7.834374e-02 3.719891e-09 9.942476e-01 1.107574e-09 - actual$covM1$Item7[8, ] 4.607139e-09 1.255416e-08 -0.26456349 -0.65931655 8.055493e-10 -1.067286e-01 -1.130951e-08 6.043679e-01 + expected$covM1$Item7[8, ] 1.407954e-08 -9.269402e-09 -0.26456349 -0.65931662 -1.325472e-09 -1.067287e-01 1.107574e-09 6.043679e-01 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 8.766343e-01 -7.940131e-01 -0.87663432 0.79401312 -4.200807e-02 -1.428100e-11 3.004740e-02 -1.706962e-09 + expected$covM1$Item8[1, ] 8.766398e-01 -7.940171e-01 -0.87663991 0.79401710 -4.200806e-02 6.564617e-10 3.004821e-02 5.133452e-09 - actual$covM1$Item8[2, ] -7.940131e-01 1.564293e+00 0.79401310 -1.56429335 5.124294e-02 6.159193e-11 -1.960283e-01 7.872335e-10 + expected$covM1$Item8[2, ] -7.940171e-01 1.564289e+00 0.79401718 -1.56428929 5.124268e-02 -1.361904e-09 -1.960298e-01 -7.448746e-09 - actual$covM1$Item8[3, ] -8.766343e-01 7.940131e-01 2.87749008 -3.00123965 4.200807e-02 -5.795561e-02 -3.004740e-02 1.497020e-02 + expected$covM1$Item8[3, ] -8.766399e-01 7.940172e-01 2.87749865 -3.00125099 4.200806e-02 -5.795558e-02 -3.004822e-02 1.497023e-02 - actual$covM1$Item8[4, ] 7.940131e-01 -1.564293e+00 -3.00123965 7.43326276 -5.124294e-02 8.818287e-02 1.960283e-01 -2.179838e-01 + expected$covM1$Item8[4, ] 7.940171e-01 -1.564289e+00 -3.00125099 7.43327512 -5.124269e-02 8.818284e-02 1.960298e-01 -2.179834e-01 - actual$covM1$Item8[5, ] -4.200807e-02 5.124294e-02 0.04200807 -0.05124294 3.111826e-03 1.443978e-12 -4.895365e-03 6.994986e-11 + expected$covM1$Item8[5, ] -4.200806e-02 5.124268e-02 0.04200806 -0.05124269 3.111804e-03 -4.343658e-11 -4.895392e-03 -2.896919e-10 - actual$covM1$Item8[6, ] -1.428100e-11 6.159193e-11 -0.05795561 0.08818287 1.443978e-12 2.854864e-03 -1.020877e-11 -2.511802e-03 + expected$covM1$Item8[6, ] 6.564617e-10 -1.361904e-09 -0.05795558 0.08818284 -4.343658e-11 2.854858e-03 1.757752e-10 -2.511788e-03 - actual$covM1$Item8[7, ] 3.004740e-02 -1.960283e-01 -0.03004740 0.19602830 -4.895365e-03 -1.020877e-11 3.962826e-02 9.307385e-11 + expected$covM1$Item8[7, ] 3.004821e-02 -1.960298e-01 -0.03004822 0.19602983 -4.895392e-03 1.757752e-10 3.962896e-02 7.350922e-10 - actual$covM1$Item8[8, ] -1.706962e-09 7.872335e-10 0.01497020 -0.21798384 6.994986e-11 -2.511802e-03 9.307385e-11 1.504333e-02 + expected$covM1$Item8[8, ] 5.133452e-09 -7.448746e-09 0.01497023 -0.21798341 -2.896919e-10 -2.511788e-03 7.350922e-10 1.504325e-02 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item9[1, ] 8.742616e-01 9.601241e-01 -0.87426157 -0.96012415 1.101235e-01 -2.390244e-08 -3.628654e-02 1.319185e-09 + expected$covM1$Item9[1, ] 8.798109e-01 9.674735e-01 -0.87981075 -0.96747332 1.109757e-01 6.547704e-08 -3.630032e-02 -5.345972e-09 - actual$covM1$Item9[2, ] 9.601241e-01 1.838874e+00 -0.96012409 -1.83887440 4.285296e-01 -3.432237e-08 -4.468660e-02 -2.094368e-10 + expected$covM1$Item9[2, ] 9.674735e-01 1.843588e+00 -0.96747335 -1.84358732 4.270407e-01 1.121885e-07 -4.458369e-02 -8.331971e-09 - actual$covM1$Item9[3, ] -8.742616e-01 -9.601241e-01 1.35387474 1.25088103 -1.101235e-01 -1.786138e-02 3.628654e-02 -3.608647e-02 + expected$covM1$Item9[3, ] -8.798107e-01 -9.674734e-01 1.35934794 1.25787258 -1.109757e-01 -1.801631e-02 3.630031e-02 -3.608348e-02 - actual$covM1$Item9[4, ] -9.601241e-01 -1.838874e+00 1.25088103 2.94519948 -4.285296e-01 4.764344e-01 4.468660e-02 -6.287813e-02 + expected$covM1$Item9[4, ] -9.674733e-01 -1.843587e+00 1.25787258 2.94981007 -4.270407e-01 4.765576e-01 4.458368e-02 -6.290271e-02 - actual$covM1$Item9[5, ] 1.101235e-01 4.285296e-01 -0.11012351 -0.42852962 1.462310e-01 -6.176055e-09 -7.878486e-03 -4.840182e-10 + expected$covM1$Item9[5, ] 1.109757e-01 4.270407e-01 -0.11097567 -0.42704067 1.450431e-01 2.397943e-08 -7.809586e-03 -1.634008e-09 - actual$covM1$Item9[6, ] -2.390244e-08 -3.432237e-08 -0.01786138 0.47643444 -6.176055e-09 2.667241e-01 1.041847e-09 -2.210329e-02 + expected$covM1$Item9[6, ] 6.547704e-08 1.121885e-07 -0.01801631 0.47655756 2.397943e-08 2.668684e-01 -2.942047e-09 -2.212035e-02 - actual$covM1$Item9[7, ] -3.628654e-02 -4.468660e-02 0.03628654 0.04468660 -7.878486e-03 1.041847e-09 2.738535e-03 -4.453027e-11 + expected$covM1$Item9[7, ] -3.630032e-02 -4.458369e-02 0.03630031 0.04458368 -7.809586e-03 -2.942047e-09 2.726601e-03 2.352535e-10 - actual$covM1$Item9[8, ] 1.319185e-09 -2.094368e-10 -0.03608647 -0.06287813 -4.840182e-10 -2.210329e-02 -4.453027e-11 6.039953e-03 + expected$covM1$Item9[8, ] -5.345972e-09 -8.331971e-09 -0.03608348 -0.06290271 -1.634008e-09 -2.212035e-02 2.352535e-10 6.044059e-03 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item11[1, ] 7.807359e-01 -2.760156e-01 -0.78073564 0.27601426 -1.754586e-01 -5.550968e-07 -3.596027e-02 -1.000467e-08 + expected$covM1$Item11[1, ] 7.807353e-01 -2.760185e-01 -0.78073477 0.27601946 -1.754600e-01 2.093162e-07 -3.595945e-02 8.197171e-08 - actual$covM1$Item11[2, ] -2.760156e-01 1.816331e+00 0.27601561 -1.81633054 4.313826e-01 2.292807e-07 -3.278961e-01 -6.768686e-09 + expected$covM1$Item11[2, ] -2.760185e-01 1.816330e+00 0.27601835 -1.81632993 4.313851e-01 -5.734700e-08 -3.278955e-01 -2.243248e-08 - actual$covM1$Item11[3, ] -7.807356e-01 2.760156e-01 2.04752596 1.01247276 1.754585e-01 2.079424e-01 3.596023e-02 -3.718182e-02 + expected$covM1$Item11[3, ] -7.807348e-01 2.760183e-01 2.04752087 1.01246398 1.754599e-01 2.079411e-01 3.595943e-02 -3.718190e-02 - actual$covM1$Item11[4, ] 2.760143e-01 -1.816331e+00 1.01247276 3.55455961 -4.313822e-01 4.182145e-01 3.278961e-01 -3.740009e-02 + expected$covM1$Item11[4, ] 2.760195e-01 -1.816330e+00 1.01246398 3.55455663 -4.313853e-01 4.182146e-01 3.278955e-01 -3.740009e-02 - actual$covM1$Item11[5, ] -1.754586e-01 4.313826e-01 0.17545854 -0.43138224 1.235907e-01 1.318489e-07 -6.825871e-02 3.375488e-11 + expected$covM1$Item11[5, ] -1.754600e-01 4.313851e-01 0.17545990 -0.43138527 1.235922e-01 -4.346219e-08 -6.825909e-02 -1.701502e-08 - actual$covM1$Item11[6, ] -5.550968e-07 2.292807e-07 0.20794237 0.41821447 1.318489e-07 1.455109e-01 1.902064e-08 -7.068006e-03 + expected$covM1$Item11[6, ] 2.093162e-07 -5.734700e-08 0.20794107 0.41821455 -4.346219e-08 1.455111e-01 -1.294113e-08 -7.068018e-03 - actual$covM1$Item11[7, ] -3.596027e-02 -3.278961e-01 0.03596023 0.32789613 -6.825871e-02 1.902064e-08 7.367610e-02 2.503109e-09 + expected$covM1$Item11[7, ] -3.595945e-02 -3.278955e-01 0.03595943 0.32789550 -6.825909e-02 -1.294113e-08 7.367589e-02 -5.073028e-09 - actual$covM1$Item11[8, ] -1.000467e-08 -6.768686e-09 -0.03718182 -0.03740009 3.375488e-11 -7.068006e-03 2.503109e-09 2.189238e-03 + expected$covM1$Item11[8, ] 8.197171e-08 -2.243248e-08 -0.03718190 -0.03740009 -1.701502e-08 -7.068018e-03 -5.073028e-09 2.189241e-03 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item12[1, ] 3.127186e+00 1.381027e+00 -3.12718590 -1.3810275 5.730381e-02 2.880074e-08 -2.896733e+00 -1.548652e-08 + expected$covM1$Item12[1, ] 3.127472e+00 1.381234e+00 -3.12747187 -1.3812325 5.733142e-02 1.257017e-07 -2.897112e+00 -7.513590e-07 - actual$covM1$Item12[2, ] 1.381027e+00 2.651823e+00 -1.38102741 -2.6518234 2.926675e-01 6.551605e-08 -3.306233e+00 -1.452845e-07 + expected$covM1$Item12[2, ] 1.381234e+00 2.651884e+00 -1.38123303 -2.6518823 2.927018e-01 2.409797e-07 -3.306452e+00 -1.405337e-06 - actual$covM1$Item12[3, ] -3.127186e+00 -1.381027e+00 3.82523206 1.3636693 -5.730380e-02 -5.664911e-02 2.896733e+00 -2.369135e-01 + expected$covM1$Item12[3, ] -3.127472e+00 -1.381233e+00 3.82551999 1.3638730 -5.733136e-02 -5.664925e-02 2.897111e+00 -2.369131e-01 - actual$covM1$Item12[4, ] -1.381027e+00 -2.651823e+00 1.36366927 3.6792236 -2.926675e-01 1.678791e-01 3.306232e+00 -6.592980e-01 + expected$covM1$Item12[4, ] -1.381232e+00 -2.651882e+00 1.36387304 3.6792817 -2.927016e-01 1.678784e-01 3.306449e+00 -6.592970e-01 - actual$covM1$Item12[5, ] 5.730381e-02 2.926675e-01 -0.05730380 -0.2926675 3.854043e-02 7.440749e-09 -3.253377e-01 -1.841114e-08 + expected$covM1$Item12[5, ] 5.733142e-02 2.927018e-01 -0.05733136 -0.2927016 3.854804e-02 2.659074e-08 -3.253920e-01 -1.543482e-07 - actual$covM1$Item12[6, ] 2.880074e-08 6.551605e-08 -0.05664911 0.1678791 7.440749e-09 3.445023e-02 -7.908867e-08 -9.314587e-02 + expected$covM1$Item12[6, ] 1.257017e-07 2.409797e-07 -0.05664925 0.1678784 2.659074e-08 3.444999e-02 -3.005525e-07 -9.314547e-02 - actual$covM1$Item12[7, ] -2.896733e+00 -3.306233e+00 2.89673292 3.3062324 -3.253377e-01 -7.908867e-08 4.734177e+00 1.517765e-07 + expected$covM1$Item12[7, ] -2.897112e+00 -3.306452e+00 2.89711144 3.3064491 -3.253920e-01 -3.005525e-07 4.734654e+00 1.761678e-06 - actual$covM1$Item12[8, ] -1.548652e-08 -1.452845e-07 -0.23691354 -0.6592980 -1.841114e-08 -9.314587e-02 1.517765e-07 5.271956e-01 + expected$covM1$Item12[8, ] -7.513590e-07 -1.405337e-06 -0.23691311 -0.6592970 -1.543482e-07 -9.314547e-02 1.761678e-06 5.271958e-01 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item13[1, ] 8.064152e-01 2.142673e-02 -0.80641516 -0.02142669 -7.993061e-02 1.636818e-09 -2.679589e-01 -1.489011e-08 + expected$covM1$Item13[1, ] 8.062815e-01 2.137665e-02 -0.80628143 -0.02137668 -7.995349e-02 -2.337606e-09 -2.678568e-01 1.124721e-08 - actual$covM1$Item13[2, ] 2.142673e-02 1.424664e+00 -0.02142665 -1.42466393 2.998260e-01 -4.565261e-09 -8.715699e-01 5.484169e-09 + expected$covM1$Item13[2, ] 2.137665e-02 1.424550e+00 -0.02137657 -1.42454990 2.998985e-01 -5.560359e-09 -8.714155e-01 5.142638e-09 - actual$covM1$Item13[3, ] -8.064152e-01 -2.142665e-02 1.56118375 -0.40297446 7.993062e-02 -5.525449e-02 2.679589e-01 -2.493104e-02 + expected$covM1$Item13[3, ] -8.062814e-01 -2.137657e-02 1.56116441 -0.40294359 7.995350e-02 -5.526186e-02 2.678567e-01 -2.499492e-02 - actual$covM1$Item13[4, ] -2.142669e-02 -1.424664e+00 -0.40297446 2.49040529 -2.998260e-01 7.039228e-02 8.715699e-01 -4.157453e-01 + expected$covM1$Item13[4, ] -2.137668e-02 -1.424550e+00 -0.40294359 2.49038237 -2.998985e-01 7.041145e-02 8.714156e-01 -4.159253e-01 - actual$covM1$Item13[5, ] -7.993061e-02 2.998260e-01 0.07993062 -0.29982603 7.572579e-02 -1.139429e-09 -1.619063e-01 2.722575e-09 + expected$covM1$Item13[5, ] -7.995349e-02 2.998985e-01 0.07995350 -0.29989851 7.576656e-02 -9.343695e-10 -1.619317e-01 -8.783267e-11 - actual$covM1$Item13[6, ] 1.636818e-09 -4.565261e-09 -0.05525449 0.07039228 -1.139429e-09 7.797116e-03 2.253704e-09 -2.149330e-02 + expected$covM1$Item13[6, ] -2.337606e-09 -5.560359e-09 -0.05526186 0.07041145 -9.343695e-10 7.799659e-03 4.113931e-09 -2.150748e-02 - actual$covM1$Item13[7, ] -2.679589e-01 -8.715699e-01 0.26795889 0.87156992 -1.619063e-01 2.253704e-09 6.281600e-01 1.378603e-09 + expected$covM1$Item13[7, ] -2.678568e-01 -8.714155e-01 0.26785672 0.87141558 -1.619317e-01 4.113931e-09 6.279794e-01 -6.676893e-09 - actual$covM1$Item13[8, ] -1.489011e-08 5.484169e-09 -0.02493104 -0.41574532 2.722575e-09 -2.149330e-02 1.378603e-09 2.413195e-01 + expected$covM1$Item13[8, ] 1.124721e-08 5.142638e-09 -0.02499492 -0.41592530 -8.783267e-11 -2.150748e-02 -6.676893e-09 2.414889e-01 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item14[1, ] 1.280689e+00 -8.248646e-02 -1.28068913 0.08248643 -1.805800e-01 -4.232791e-09 -2.340496e-01 1.355893e-08 + expected$covM1$Item14[1, ] 1.280631e+00 -8.256716e-02 -1.28063085 0.08256715 -1.805950e-01 -1.290947e-09 -2.339829e-01 1.567618e-08 - actual$covM1$Item14[2, ] -8.248646e-02 2.420310e+00 0.08248637 -2.42031047 6.433379e-01 -4.967035e-10 -1.073203e+00 8.194776e-08 + expected$covM1$Item14[2, ] -8.256716e-02 2.420277e+00 0.08256710 -2.42027752 6.433088e-01 -1.755481e-08 -1.073055e+00 1.413153e-07 - actual$covM1$Item14[3, ] -1.280689e+00 8.248637e-02 1.98569871 -0.28698750 1.805799e-01 -5.833192e-02 2.340496e-01 -1.265439e-01 + expected$covM1$Item14[3, ] -1.280631e+00 8.256710e-02 1.98564049 -0.28706829 1.805950e-01 -5.833193e-02 2.339830e-01 -1.265439e-01 - actual$covM1$Item14[4, ] 8.248643e-02 -2.420310e+00 -0.28698750 3.46684515 -6.433379e-01 1.047739e-01 1.073203e+00 -5.479816e-01 + expected$covM1$Item14[4, ] 8.256715e-02 -2.420278e+00 -0.28706829 3.46681278 -6.433089e-01 1.047740e-01 1.073055e+00 -5.479819e-01 - actual$covM1$Item14[5, ] -1.805800e-01 6.433379e-01 0.18057994 -0.64333794 1.962269e-01 3.955944e-10 -2.576708e-01 1.975222e-08 + expected$covM1$Item14[5, ] -1.805950e-01 6.433088e-01 0.18059495 -0.64330886 1.962133e-01 -4.431427e-09 -2.576258e-01 3.501672e-08 - actual$covM1$Item14[6, ] -4.232791e-09 -4.967035e-10 -0.05833192 0.10477395 3.955944e-10 1.492429e-02 1.120240e-09 -4.532246e-02 + expected$covM1$Item14[6, ] -1.290947e-09 -1.755481e-08 -0.05833193 0.10477401 -4.431427e-09 1.492429e-02 8.183292e-09 -4.532248e-02 - actual$covM1$Item14[7, ] -2.340496e-01 -1.073203e+00 0.23404961 1.07320338 -2.576708e-01 1.120240e-09 5.447607e-01 -3.979985e-08 + expected$covM1$Item14[7, ] -2.339829e-01 -1.073055e+00 0.23398298 1.07305485 -2.576258e-01 8.183292e-09 5.446221e-01 -6.699407e-08 - actual$covM1$Item14[8, ] 1.355893e-08 8.194776e-08 -0.12654395 -0.54798159 1.975222e-08 -4.532246e-02 -3.979985e-08 3.868084e-01 + expected$covM1$Item14[8, ] 1.567618e-08 1.413153e-07 -0.12654394 -0.54798186 3.501672e-08 -4.532248e-02 -6.699407e-08 3.868085e-01 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 7.567531e-01 -3.478852e-01 -0.756753122 0.3478852 -3.346144e-01 2.669713e-09 -9.463113e-03 7.453110e-09 + expected$covM1$Item15[1, ] 7.567530e-01 -3.478851e-01 -0.756752960 0.3478852 -3.346146e-01 4.800417e-08 -9.463110e-03 -9.087928e-08 - actual$covM1$Item15[2, ] -3.478852e-01 1.543360e+00 0.347885190 -1.5433602 7.202396e-01 3.590283e-11 -4.126528e-01 -1.598593e-08 + expected$covM1$Item15[2, ] -3.478851e-01 1.543361e+00 0.347885028 -1.5433610 7.202405e-01 -4.379173e-08 -4.126532e-01 9.072165e-08 - actual$covM1$Item15[3, ] -7.567531e-01 3.478852e-01 2.467796429 -0.2699703 3.346144e-01 -2.445486e-01 9.463118e-03 -5.706363e-01 + expected$covM1$Item15[3, ] -7.567530e-01 3.478850e-01 2.467796109 -0.2699699 3.346146e-01 -2.445485e-01 9.463119e-03 -5.706365e-01 - actual$covM1$Item15[4, ] 3.478852e-01 -1.543360e+00 -0.269970275 3.8970011 -7.202396e-01 1.277358e+00 4.126528e-01 -1.964173e+00 + expected$covM1$Item15[4, ] 3.478852e-01 -1.543361e+00 -0.269969890 3.8970026 -7.202405e-01 1.277358e+00 4.126532e-01 -1.964174e+00 - actual$covM1$Item15[5, ] -3.346144e-01 7.202396e-01 0.334614437 -0.7202396 3.891638e-01 -6.632881e-10 -1.721534e-01 -8.437815e-09 + expected$covM1$Item15[5, ] -3.346146e-01 7.202405e-01 0.334614569 -0.7202405 3.891645e-01 -3.012040e-08 -1.721537e-01 6.022311e-08 - actual$covM1$Item15[6, ] 2.669713e-09 3.590283e-11 -0.244548646 1.2773577 -6.632881e-10 7.509712e-01 -4.141428e-10 -9.922102e-01 + expected$covM1$Item15[6, ] 4.800417e-08 -4.379173e-08 -0.244548483 1.2773580 -3.012040e-08 7.509712e-01 5.947845e-09 -9.922104e-01 - actual$covM1$Item15[7, ] -9.463113e-03 -4.126528e-01 0.009463118 0.4126528 -1.721534e-01 -4.141428e-10 1.323465e-01 3.692613e-09 + expected$covM1$Item15[7, ] -9.463110e-03 -4.126532e-01 0.009463119 0.4126532 -1.721537e-01 5.947845e-09 1.323466e-01 -1.361648e-08 - actual$covM1$Item15[8, ] 7.453110e-09 -1.598593e-08 -0.570636316 -1.9641733 -8.437815e-09 -9.922102e-01 3.692613e-09 1.807395e+00 + expected$covM1$Item15[8, ] -9.087928e-08 9.072165e-08 -0.570636491 -1.9641739 6.022311e-08 -9.922104e-01 -1.361648e-08 1.807395e+00 actual$pval | expected$pval [1] 0.622569579 | 0.622569579 [1] [2] 0.941211556 | 0.941211556 [2] [3] 0.008852326 | 0.008852326 [3] [4] 0.365171955 - 0.365171957 [4] [5] 0.028884622 | 0.028884622 [5] [6] 0.405245477 | 0.405245477 [6] [7] 0.912261531 | 0.912261531 [7] [8] 0.008466079 | 0.008466079 [8] [9] 0.942892780 - 0.942886693 [9] [10] 0.819181914 | 0.819181914 [10] ... ... ... and 5 more ... actual$adj.pval | expected$adj.pval [1] 0.622569579 | 0.622569579 [1] [2] 0.941211556 | 0.941211556 [2] [3] 0.008852326 | 0.008852326 [3] [4] 0.365171955 - 0.365171957 [4] [5] 0.028884622 | 0.028884622 [5] [6] 0.405245477 | 0.405245477 [6] [7] 0.912261531 | 0.912261531 [7] [8] 0.008466079 | 0.008466079 [8] [9] 0.942892780 - 0.942886693 [9] [10] 0.819181914 | 0.819181914 [10] ... ... ... and 5 more ... ── Failure ('test-difNLR.R:48:3'): fit 3PL model on generated data ───────────── `fit8b` (`actual`) not equal to `fit8b_gen` (`expected`). actual$Sval | expected$Sval [1] 2.624045230 | 2.624045230 [1] [2] 0.779223395 - 0.779223397 [2] [3] 13.556859010 - 13.556859018 [3] [4] NA | NA [4] [5] 10.801763321 - 10.801763325 [5] [6] 4.005622390 | 4.005622390 [6] [7] 0.983672846 | 0.983672846 [7] [8] 13.659198243 - 13.659198240 [8] [9] 0.766417032 - 0.766463638 [9] [10] 1.541969963 | 1.541969963 [10] ... ... ... and 5 more ... actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.132310618 - 0.132310711 [1] [2] 1.622656403 - 1.622656486 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[2]][7:10]`: 0.000000000 0.000000000 0.000000000 0.868793526 `expected$nlrPAR[[2]][7:10]`: 0.000000000 0.000000000 0.000000000 0.868793502 actual$nlrPAR[[3]] | expected$nlrPAR[[3]] [1] -2.41040449 - -2.41036223 [1] [2] 5.31304162 - 5.31291366 [2] [3] -3.95700276 - -3.95713406 [3] [4] -2.03336174 - -2.03318734 [4] [5] 0.03865168 - 0.03865139 [5] [6] 0.06158276 - 0.06158324 [6] [7] 0.30963330 - 0.30963420 [7] [8] 1.00000000 | 1.00000000 [8] actual$nlrPAR[[5]] | expected$nlrPAR[[5]] [1] 4.18121655 - 4.18127413 [1] [2] 6.50241655 - 6.50250955 [2] [3] -2.95534692 - -2.95535777 [3] [4] -4.90728759 - -4.90721516 [4] [5] 0.23504651 - 0.23504750 [5] [6] 0.02067715 - 0.02071354 [6] [7] 0.83083861 - 0.83083813 [7] [8] 0.76290458 - 0.76289216 [8] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.92730642 - -1.92732168 [1] [2] 1.95568666 - 1.95568557 [2] [3] 0.54040400 - 0.54041899 [3] [4] 0.22343628 - 0.22344093 [4] [5] 0.05494766 - 0.05494816 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.59599554 - 0.59599799 [7] [8] 0.26667335 - 0.26667318 [8] `actual$nlrPAR[[9]][1:5]`: 2.1874913 1.8666337 0.0000000 0.0000000 0.0000000 `expected$nlrPAR[[9]][1:5]`: 2.1876027 1.8667190 0.0000000 0.0000000 0.0000000 `actual$nlrPAR[[9]][7:10]`: 0.0000000 0.0000000 0.0000000 0.9238041 `expected$nlrPAR[[9]][7:10]`: 0.0000000 0.0000000 0.0000000 0.9237971 actual$nlrPAR[[11]] | expected$nlrPAR[[11]] [1] 0.03737230 - 0.03737697 [1] [2] 1.11043304 - 1.11043222 [2] [3] 3.31271962 - 3.31271166 [3] [4] 1.39490088 - 1.39489967 [4] [5] 0.34452785 - 0.34452672 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.96396020 - 0.96396030 [8] `actual$nlrPAR[[12]][1:5]`: -1.4773946 0.9377822 0.0000000 0.0000000 0.0000000 `expected$nlrPAR[[12]][1:5]`: -1.4774051 0.9377869 0.0000000 0.0000000 0.0000000 `actual$nlrPAR[[12]][6:10]`: 0.0000000 0.0000000 0.0000000 0.0686981 1.0000000 `expected$nlrPAR[[12]][6:10]`: 0.0000000 0.0000000 0.0000000 0.0686996 1.0000000 actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] -1.48012093 - -1.48011649 [1] [2] 1.20218573 - 1.20218335 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [6] 0.00000000 | 0.00000000 [6] [7] 0.00000000 | 0.00000000 [7] [8] 0.00000000 | 0.00000000 [8] [9] 0.11933255 - 0.11933200 [9] [10] 1.00000000 | 1.00000000 [10] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -1.127947696 - -1.127947471 [1] [2] 0.861826763 - 0.861826661 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.043633499 - 0.043633453 [9] [10] 1.000000000 | 1.000000000 [10] actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.23857985 - 0.23858035 [1] [2] 0.99796633 - 0.99796601 [2] [3] -0.61823912 - -0.61823963 [3] [4] -0.36811311 - -0.36811279 [4] [5] 0.04833649 - 0.04833624 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 1.00000000 | 1.00000000 [8] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.354155001 - 0.354154949 [1] [2] 0.644889406 - 0.644889443 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrSE[[2]] | expected$nlrSE[[2]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.129095324 - 0.129095311 [9] [10] 0.102664337 - 0.102664331 [10] actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 2.08197644 - 2.08193333 [1] [2] 4.55964263 - 4.55950913 [2] [3] 3.40020397 - 3.40022086 [3] [4] 4.86694772 - 4.86683205 [4] [5] 0.03286267 - 0.03286295 [5] [6] 0.02530047 - 0.02530033 [6] [7] 0.05391172 - 0.05391229 [7] [8] 0.26673929 - 0.26673609 [8] actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 2.17374834 - 2.17377934 [1] [2] 3.57331092 - 3.57336143 [2] [3] 2.30079101 - 2.30082517 [3] [4] 3.77488494 - 3.77495122 [4] [5] 0.09626770 - 0.09626712 [5] [6] 0.34244722 - 0.34237409 [6] [7] 0.04395854 - 0.04395839 [7] [8] 0.10750890 - 0.10749577 [8] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.936287526 - 0.936290467 [1] [2] 1.250717134 - 1.250715471 [2] [3] 1.696316621 - 1.696319147 [3] [4] 2.726401063 - 2.726403330 [4] [5] 0.055783740 - 0.055783550 [5] [6] 0.053430928 - 0.053430868 [6] [7] 0.199068482 - 0.199070235 [7] [8] 0.122651236 - 0.122650926 [8] `actual$nlrSE[[9]][1:5]`: 0.5088733 0.7877224 0.0000000 0.0000000 0.0000000 `expected$nlrSE[[9]][1:5]`: 0.5088938 0.7877396 0.0000000 0.0000000 0.0000000 `actual$nlrSE[[9]][6:10]`: 0.0000000 0.0000000 0.0000000 0.3300084 0.0473500 `expected$nlrSE[[9]][6:10]`: 0.0000000 0.0000000 0.0000000 0.3299922 0.0473474 actual$nlrSE[[11]] | expected$nlrSE[[11]] [1] 0.883592587 - 0.883592269 [1] [2] 1.347713298 - 1.347712746 [2] [3] 1.430917874 - 1.430916096 [3] [4] 1.885353976 - 1.885353185 [4] [5] 0.351554727 - 0.351556759 [5] [6] 0.381458962 - 0.381459107 [6] [7] 0.271433419 - 0.271433025 [7] [8] 0.046789297 - 0.046789330 [8] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.79559781 - 0.79559599 [1] [2] 0.86559854 - 0.86559778 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrSE[[12]] | expected$nlrSE[[12]] [6] 0.00000000 | 0.00000000 [6] [7] 0.00000000 | 0.00000000 [7] [8] 0.00000000 | 0.00000000 [8] [9] 0.14040395 - 0.14040208 [9] [10] 0.85025040 - 0.85024612 [10] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.59964335 - 0.59964322 [1] [2] 0.76292520 - 0.76292503 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrSE[[13]] | expected$nlrSE[[13]] [6] 0.00000000 | 0.00000000 [6] [7] 0.00000000 | 0.00000000 [7] [8] 0.00000000 | 0.00000000 [8] [9] 0.09756602 - 0.09756645 [9] [10] 0.43922676 - 0.43922759 [10] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.767663745 - 0.767663836 [1] [2] 0.870991025 - 0.870990972 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrSE[[14]] | expected$nlrSE[[14]] [6] 0.000000000 | 0.000000000 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.000000000 | 0.000000000 [8] [9] 0.197834634 - 0.197834689 [9] [10] 0.808048448 - 0.808048489 [10] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.869915573 - 0.869915523 [1] [2] 1.242320513 - 1.242320792 [2] [3] 1.570922159 - 1.570922057 [3] [4] 1.974082354 - 1.974082716 [4] [5] 0.623829941 - 0.623830507 [5] [6] 0.866585925 - 0.866585945 [6] [7] 0.363794573 - 0.363794785 [7] [8] 1.344393887 - 1.344394060 [8] `actual$parM0$Item2`: 0.132310618 1.622656403 0.000000000 0.868793526 `expected$parM0$Item2`: 0.132310711 1.622656486 0.000000000 0.868793502 `actual$parM0$Item3`: -2.439318371 1.081887198 0.000447073 1.000000000 `expected$parM0$Item3`: -2.439318898 1.081887365 0.000447109 1.000000000 `actual$parM0$Item8`: -1.585301266 1.845801934 0.019490423 0.438053885 `expected$parM0$Item8`: -1.585301574 1.845806448 0.019490510 0.438053284 `actual$parM0$Item9`: 2.1874913 1.8666337 0.0000000 0.9238041 `expected$parM0$Item9`: 2.1876027 1.8667190 0.0000000 0.9237971 `actual$parM0$Item12`: -1.4773946 0.9377822 0.0686981 1.0000000 `expected$parM0$Item12`: -1.4774051 0.9377869 0.0686996 1.0000000 `actual$parM0$Item13`: -1.48012093 1.20218573 0.11933255 1.00000000 `expected$parM0$Item13`: -1.48011649 1.20218335 0.11933200 1.00000000 `actual$parM0$Item14`: -1.127947696 0.861826763 0.043633499 1.000000000 `expected$parM0$Item14`: -1.127947471 0.861826661 0.043633453 1.000000000 `actual$parM0$Item15`: -0.025345272 0.760249634 0.000000000 1.000000000 `expected$parM0$Item15`: -0.025345261 0.760249633 0.000000000 1.000000000 `actual$seM0$Item2`: 0.354155001 0.644889406 0.129095324 0.102664337 `expected$seM0$Item2`: 0.354154949 0.644889443 0.129095311 0.102664331 `actual$seM0$Item3`: 0.76418172 0.71194757 0.05864713 1.02670695 `expected$seM0$Item3`: 0.76418189 0.71194436 0.05864692 1.02670329 `actual$seM0$Item8`: 0.733371281 1.075870428 0.043051378 0.130856869 `expected$seM0$Item8`: 0.733372024 1.075872588 0.043051289 0.130856272 `actual$seM0$Item9`: 0.5088733 0.7877224 0.3300084 0.0473500 `expected$seM0$Item9`: 0.5088938 0.7877396 0.3299922 0.0473474 `actual$seM0$Item12`: 0.79559781 0.86559854 0.14040395 0.85025040 `expected$seM0$Item12`: 0.79559599 0.86559778 0.14040208 0.85024612 `actual$seM0$Item13`: 0.59964335 0.76292520 0.09756602 0.43922676 `expected$seM0$Item13`: 0.59964322 0.76292503 0.09756645 0.43922759 `actual$seM0$Item14`: 0.767663745 0.870991025 0.197834634 0.808048448 `expected$seM0$Item14`: 0.767663836 0.870990972 0.197834689 0.808048489 `actual$seM0$Item15`: 0.761355416 0.964272369 0.584253214 0.509527993 `expected$seM0$Item15`: 0.761355249 0.964272591 0.584253551 0.509527895 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] [,4] - actual$covM0$Item2[1, ] 0.12542576 -0.01278139 -0.022252784 -0.014975897 + expected$covM0$Item2[1, ] 0.12542573 -0.01278133 -0.022252771 -0.014975897 - actual$covM0$Item2[2, ] -0.01278139 0.41588235 0.069011387 -0.052192381 + expected$covM0$Item2[2, ] -0.01278133 0.41588239 0.069011382 -0.052192385 - actual$covM0$Item2[3, ] -0.02225278 0.06901139 0.016665603 -0.006947406 + expected$covM0$Item2[3, ] -0.02225277 0.06901138 0.016665599 -0.006947406 - actual$covM0$Item2[4, ] -0.01497590 -0.05219238 -0.006947406 0.010539966 + expected$covM0$Item2[4, ] -0.01497590 -0.05219239 -0.006947406 0.010539965 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] - actual$covM0$Item3[1, ] 0.583973694 0.14416246 -0.003896199 -0.49900210 + expected$covM0$Item3[1, ] 0.583973967 0.14416149 -0.003896302 -0.49900111 - actual$covM0$Item3[2, ] 0.144162463 0.50686934 0.036318037 -0.66108817 + expected$covM0$Item3[2, ] 0.144161489 0.50686477 0.036317688 -0.66108225 - actual$covM0$Item3[3, ] -0.003896199 0.03631804 0.003439485 -0.04078659 + expected$covM0$Item3[3, ] -0.003896302 0.03631769 0.003439461 -0.04078612 - actual$covM0$Item3[4, ] -0.499002101 -0.66108817 -0.040786586 1.05412716 + expected$covM0$Item3[4, ] -0.499001106 -0.66108225 -0.040786120 1.05411964 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] [,4] - actual$covM0$Item8[1, ] 0.537833436 -0.46625314 -0.024679607 0.006556814 + expected$covM0$Item8[1, ] 0.537834525 -0.46625559 -0.024679589 0.006556899 - actual$covM0$Item8[2, ] -0.466253135 1.15749718 0.034093400 -0.111371662 + expected$covM0$Item8[2, ] -0.466255587 1.15750182 0.034093364 -0.111371303 - actual$covM0$Item8[3, ] -0.024679607 0.03409340 0.001853421 -0.002531480 + expected$covM0$Item8[3, ] -0.024679589 0.03409336 0.001853413 -0.002531458 - actual$covM0$Item8[4, ] 0.006556814 -0.11137166 -0.002531480 0.017123520 + expected$covM0$Item8[4, ] 0.006556899 -0.11137130 -0.002531458 0.017123364 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] - actual$covM0$Item9[1, ] 0.258952046 0.20355235 0.007619887 -0.017315216 + expected$covM0$Item9[1, ] 0.258972877 0.20359461 0.007632177 -0.017315587 - actual$covM0$Item9[2, ] 0.203552346 0.62050654 0.223874303 -0.026917066 + expected$covM0$Item9[2, ] 0.203594610 0.62053372 0.223866510 -0.026915586 - actual$covM0$Item9[3, ] 0.007619887 0.22387430 0.108905529 -0.007710958 + expected$covM0$Item9[3, ] 0.007632177 0.22386651 0.108894875 -0.007709871 - actual$covM0$Item9[4, ] -0.017315216 -0.02691707 -0.007710958 0.002242024 + expected$covM0$Item9[4, ] -0.017315587 -0.02691559 -0.007709871 0.002241774 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] - actual$covM0$Item12[1, ] 0.63297588 0.1417131 -0.01549104 -0.37969185 + expected$covM0$Item12[1, ] 0.63297298 0.1417089 -0.01549149 -0.37968687 - actual$covM0$Item12[2, ] 0.14171305 0.7492608 0.10998535 -0.67370349 + expected$covM0$Item12[2, ] 0.14170892 0.7492595 0.10998366 -0.67369900 - actual$covM0$Item12[3, ] -0.01549104 0.1099853 0.01971327 -0.08666656 + expected$covM0$Item12[3, ] -0.01549149 0.1099837 0.01971274 -0.08666472 - actual$covM0$Item12[4, ] -0.37969185 -0.6737035 -0.08666656 0.72292575 + expected$covM0$Item12[4, ] -0.37968687 -0.6736990 -0.08666472 0.72291846 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.35957215 -0.09545526 -0.032171684 -0.06564533 + expected$covM0$Item13[1, ] 0.35957199 -0.09545406 -0.032171699 -0.06564593 - actual$covM0$Item13[2, ] -0.09545526 0.58205487 0.063523902 -0.29286824 + expected$covM0$Item13[2, ] -0.09545406 0.58205460 0.063524212 -0.29286885 - actual$covM0$Item13[3, ] -0.03217168 0.06352390 0.009519128 -0.02663178 + expected$covM0$Item13[3, ] -0.03217170 0.06352421 0.009519213 -0.02663199 - actual$covM0$Item13[4, ] -0.06564533 -0.29286824 -0.026631779 0.19292015 + expected$covM0$Item13[4, ] -0.06564593 -0.29286885 -0.026631988 0.19292087 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] [,4] - actual$covM0$Item14[1, ] 0.58930762 0.1418792 -0.01755162 -0.3372519 + expected$covM0$Item14[1, ] 0.58930777 0.1418793 -0.01755162 -0.3372520 - actual$covM0$Item14[2, ] 0.14187924 0.7586254 0.15893343 -0.6518881 + expected$covM0$Item14[2, ] 0.14187926 0.7586253 0.15893347 -0.6518881 - actual$covM0$Item14[3, ] -0.01755162 0.1589334 0.03913854 -0.1217244 + expected$covM0$Item14[3, ] -0.01755162 0.1589335 0.03913856 -0.1217245 - actual$covM0$Item14[4, ] -0.33725188 -0.6518881 -0.12172442 0.6529423 + expected$covM0$Item14[4, ] -0.33725196 -0.6518881 -0.12172446 0.6529424 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.57966207 -0.1850447 -0.2303063 -0.02402087 + expected$covM0$Item15[1, ] 0.57966181 -0.1850457 -0.2303068 -0.02402047 - actual$covM0$Item15[2, ] -0.18504472 0.9298212 0.5350702 -0.46183491 + expected$covM0$Item15[2, ] -0.18504570 0.9298216 0.5350707 -0.46183487 - actual$covM0$Item15[3, ] -0.23030629 0.5350702 0.3413518 -0.24354468 + expected$covM0$Item15[3, ] -0.23030682 0.5350707 0.3413522 -0.24354475 - actual$covM0$Item15[4, ] -0.02402087 -0.4618349 -0.2435447 0.25961878 + expected$covM0$Item15[4, ] -0.02402047 -0.4618349 -0.2435447 0.25961868 actual$parM1$Item1 | expected$parM1$Item1 [1] -1.213281886 - -1.213281887 [1] [2] 1.090222469 | 1.090222469 [2] [3] -0.820022942 - -0.820022975 [3] [4] 0.717381953 - 0.717381977 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.045505337 - 0.045505340 [6] [7] 1.000000000 | 1.000000000 [7] [8] 1.000000000 | 1.000000000 [8] actual$parM1$Item2 | expected$parM1$Item2 [1] 0.37080700 - 0.37081346 [1] [2] 1.71838620 - 1.71838263 [2] [3] -0.42413546 - -0.42414322 [3] [4] -0.12333739 - -0.12333561 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.80580425 - 0.80580318 [7] [8] 0.92687521 - 0.92687567 [8] actual$parM1$Item3 | expected$parM1$Item3 [1] -2.41040449 - -2.41036223 [1] [2] 5.31304162 - 5.31291366 [2] [3] -3.95700276 - -3.95713406 [3] [4] -2.03336174 - -2.03318734 [4] [5] 0.03865168 - 0.03865139 [5] [6] 0.06158276 - 0.06158324 [6] [7] 0.30963330 - 0.30963420 [7] [8] 1.00000000 | 1.00000000 [8] actual$parM1$Item4 | expected$parM1$Item4 [1] -1.587647172 - -1.587646705 [1] [2] 1.956727026 - 1.956726044 [2] [3] 1.028733799 - 1.028733363 [3] [4] -0.010917697 - -0.010915545 [4] [5] 0.115447928 - 0.115447869 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.945360294 - 0.945360448 [7] [8] 0.896906641 - 0.896906501 [8] actual$parM1$Item5 | expected$parM1$Item5 [1] 4.18121655 - 4.18127413 [1] [2] 6.50241655 - 6.50250955 [2] [3] -2.95534692 - -2.95535777 [3] [4] -4.90728759 - -4.90721516 [4] [5] 0.23504651 - 0.23504750 [5] [6] 0.02067715 - 0.02071354 [6] [7] 0.83083861 - 0.83083813 [7] [8] 0.76290458 - 0.76289216 [8] actual$parM1$Item7 | expected$parM1$Item7 [1] -1.986605416 - -1.986605588 [1] [2] 1.216326882 - 1.216326985 [2] [3] 0.792552055 - 0.792552234 [3] [4] -0.264104482 - -0.264104599 [4] [5] 0.092441349 - 0.092441363 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] [8] 1.000000000 | 1.000000000 [8] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.92730642 - -1.92732168 [1] [2] 1.95568666 - 1.95568557 [2] [3] 0.54040400 - 0.54041899 [3] [4] 0.22343628 - 0.22344093 [4] [5] 0.05494766 - 0.05494816 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.59599554 - 0.59599799 [7] [8] 0.26667335 - 0.26667318 [8] actual$parM1$Item9 | expected$parM1$Item9 [1] 2.8207908 - 2.8278095 [1] [2] 2.4723434 - 2.4793520 [2] [3] -0.8339755 - -0.8415253 [3] [4] -0.8272829 - -0.8346896 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.8881682 - 0.8879996 [7] [8] 0.9431250 - 0.9431170 [8] actual$parM1$Item11 | expected$parM1$Item11 [1] 0.03737230 - 0.03737697 [1] [2] 1.11043304 - 1.11043222 [2] [3] 3.31271962 - 3.31271166 [3] [4] 1.39490088 - 1.39489967 [4] [5] 0.34452785 - 0.34452672 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.96396020 - 0.96396030 [8] actual$parM1$Item12 | expected$parM1$Item12 [1] -1.8596827 - -1.8596065 [1] [2] 0.9398674 - 0.9398290 [2] [3] 0.6560592 - 0.6559791 [3] [4] 0.0535139 - 0.0535531 [4] [5] 0.0722964 - 0.0722886 [5] [6] 0.0727872 - 0.0727884 [6] [7] 1.0000000 | 1.0000000 [7] [8] 1.0000000 | 1.0000000 [8] actual$parM1$Item13 | expected$parM1$Item13 [1] -0.9398294 - -0.9394927 [1] [2] 0.9779940 - 0.9779451 [2] [3] -1.0119278 - -1.0122350 [3] [4] 0.4601580 - 0.4599877 [4] [5] 0.0571374 - 0.0571024 [5] [6] 0.1393998 - 0.1393931 [6] [7] 1.0000000 | 1.0000000 [7] [8] 1.0000000 | 1.0000000 [8] actual$parM1$Item14 | expected$parM1$Item14 [1] -0.498312290 - -0.498257528 [1] [2] 0.876719528 - 0.876749152 [2] [3] -1.106108901 - -1.106163606 [3] [4] 0.319520569 - 0.319490912 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.109243689 - 0.109243683 [6] [7] 0.770121076 - 0.770097167 [7] [8] 1.000000000 | 1.000000000 [8] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.23857985 - 0.23858035 [1] [2] 0.99796633 - 0.99796601 [2] [3] -0.61823912 - -0.61823963 [3] [4] -0.36811311 - -0.36811279 [4] [5] 0.04833649 - 0.04833624 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 1.00000000 | 1.00000000 [8] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.540448394 - 0.540450222 [1] [2] 1.061527801 - 1.061530086 [2] [3] 0.716132634 - 0.716134160 [3] [4] 1.339952554 - 1.339953196 [4] [5] 0.210400080 - 0.210401591 [5] [6] 0.159026052 - 0.159026171 [6] [7] 0.126541225 - 0.126541291 [7] [8] 0.156789481 - 0.156789728 [8] actual$seM1$Item3 | expected$seM1$Item3 [1] 2.08197644 - 2.08193333 [1] [2] 4.55964263 - 4.55950913 [2] [3] 3.40020397 - 3.40022086 [3] [4] 4.86694772 - 4.86683205 [4] [5] 0.03286267 - 0.03286295 [5] [6] 0.02530047 - 0.02530033 [6] [7] 0.05391172 - 0.05391229 [7] [8] 0.26673929 - 0.26673609 [8] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.678656785 - 0.678656577 [1] [2] 1.000144212 - 1.000143898 [2] [3] 0.805279238 - 0.805278109 [3] [4] 1.292243737 - 1.292248660 [4] [5] 0.078176592 - 0.078176635 [5] [6] 0.094542430 - 0.094542439 [6] [7] 0.216273375 - 0.216273549 [7] [8] 0.134868678 - 0.134869050 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 2.17374834 - 2.17377934 [1] [2] 3.57331092 - 3.57336143 [2] [3] 2.30079101 - 2.30082517 [3] [4] 3.77488494 - 3.77495122 [4] [5] 0.09626770 - 0.09626712 [5] [6] 0.34244722 - 0.34237409 [6] [7] 0.04395854 - 0.04395839 [7] [8] 0.10750890 - 0.10749577 [8] actual$seM1$Item7 | expected$seM1$Item7 [1] 1.011921302 - 1.011921293 [1] [2] 1.246591337 - 1.246591233 [2] [3] 1.284564694 - 1.284564674 [3] [4] 1.560928896 - 1.560928868 [4] [5] 0.119261732 - 0.119261707 [5] [6] 0.193728545 - 0.193728556 [6] [7] 0.997119860 - 0.997119669 [7] [8] 0.777411000 - 0.777411038 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.936287526 - 0.936290467 [1] [2] 1.250717134 - 1.250715471 [2] [3] 1.696316621 - 1.696319147 [3] [4] 2.726401063 - 2.726403330 [4] [5] 0.055783740 - 0.055783550 [5] [6] 0.053430928 - 0.053430868 [6] [7] 0.199068482 - 0.199070235 [7] [8] 0.122651236 - 0.122650926 [8] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.935020 - 0.937982 [1] [2] 1.356051 - 1.357788 [2] [3] 1.163561 - 1.165911 [3] [4] 1.716158 - 1.717501 [4] [5] 0.382402 - 0.380845 [5] [6] 0.516453 - 0.516593 [6] [7] 0.052331 - 0.052217 [7] [8] 0.077717 - 0.077744 [8] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.883592587 - 0.883592269 [1] [2] 1.347713298 - 1.347712746 [2] [3] 1.430917874 - 1.430916096 [3] [4] 1.885353976 - 1.885353185 [4] [5] 0.351554727 - 0.351556759 [5] [6] 0.381458962 - 0.381459107 [6] [7] 0.271433419 - 0.271433025 [7] [8] 0.046789297 - 0.046789330 [8] actual$seM1$Item12 | expected$seM1$Item12 [1] 1.76838511 - 1.76846605 [1] [2] 1.62844204 - 1.62846075 [2] [3] 1.95582005 - 1.95589365 [3] [4] 1.91813024 - 1.91814539 [4] [5] 0.19631716 - 0.19633656 [5] [6] 0.18560772 - 0.18560708 [6] [7] 2.17581641 - 2.17592612 [7] [8] 0.72608234 - 0.72608247 [8] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.8980062 - 0.8979318 [1] [2] 1.1935929 - 1.1935451 [2] [3] 1.2494734 - 1.2494657 [3] [4] 1.5781018 - 1.5780945 [4] [5] 0.2751832 - 0.2752573 [5] [6] 0.0883013 - 0.0883157 [6] [7] 0.7925655 - 0.7924515 [7] [8] 0.4912428 - 0.4914152 [8] actual$seM1$Item14 | expected$seM1$Item14 [1] 1.131675374 - 1.131649603 [1] [2] 1.555734687 - 1.555724035 [2] [3] 1.409148222 - 1.409127564 [3] [4] 1.861946603 - 1.861937910 [4] [5] 0.442975061 - 0.442959681 [5] [6] 0.122164991 - 0.122165011 [6] [7] 0.738079054 - 0.737985194 [7] [8] 0.621939241 - 0.621939341 [8] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.869915573 - 0.869915523 [1] [2] 1.242320513 - 1.242320792 [2] [3] 1.570922159 - 1.570922057 [3] [4] 1.974082354 - 1.974082716 [4] [5] 0.623829941 - 0.623830507 [5] [6] 0.866585925 - 0.866585945 [6] [7] 0.363794573 - 0.363794785 [7] [8] 1.344393887 - 1.344394060 [8] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item1[1, ] 5.007853e-01 -3.873491e-02 -0.50078534 0.03873490 -5.103529e-02 -6.665835e-11 -1.544318e-01 4.037189e-09 + expected$covM1$Item1[1, ] 5.007853e-01 -3.873491e-02 -0.50078533 0.03873492 -5.103529e-02 3.031151e-10 -1.544318e-01 1.196627e-09 - actual$covM1$Item1[2, ] -3.873491e-02 8.804858e-01 0.03873491 -0.88048577 1.462568e-01 -9.476373e-10 -5.526591e-01 -4.949857e-10 + expected$covM1$Item1[2, ] -3.873491e-02 8.804858e-01 0.03873492 -0.88048578 1.462568e-01 -6.396321e-10 -5.526591e-01 -5.277624e-10 - actual$covM1$Item1[3, ] -5.007853e-01 3.873491e-02 0.90574996 -0.36780102 5.103529e-02 -3.070502e-02 1.544318e-01 1.714369e-02 + expected$covM1$Item1[3, ] -5.007853e-01 3.873492e-02 0.90574999 -0.36780108 5.103530e-02 -3.070502e-02 1.544318e-01 1.714369e-02 - actual$covM1$Item1[4, ] 3.873490e-02 -8.804858e-01 -0.36780102 1.53411774 -1.462568e-01 3.507637e-02 5.526591e-01 -1.733342e-01 + expected$covM1$Item1[4, ] 3.873492e-02 -8.804858e-01 -0.36780108 1.53411775 -1.462568e-01 3.507637e-02 5.526591e-01 -1.733342e-01 - actual$covM1$Item1[5, ] -5.103529e-02 1.462568e-01 0.05103529 -0.14625680 3.058165e-02 -1.477287e-10 -7.922483e-02 -4.410645e-10 + expected$covM1$Item1[5, ] -5.103529e-02 1.462568e-01 0.05103530 -0.14625680 3.058166e-02 -1.308224e-10 -7.922483e-02 -1.925294e-10 - actual$covM1$Item1[6, ] -6.665835e-11 -9.476373e-10 -0.03070502 0.03507637 -1.477287e-10 3.920473e-03 6.336128e-10 -6.937242e-03 + expected$covM1$Item1[6, ] 3.031151e-10 -6.396321e-10 -0.03070502 0.03507637 -1.308224e-10 3.920473e-03 3.029993e-10 -6.937241e-03 - actual$covM1$Item1[7, ] -1.544318e-01 -5.526591e-01 0.15443184 0.55265909 -7.922483e-02 6.336128e-10 4.226851e-01 -1.127421e-09 + expected$covM1$Item1[7, ] -1.544318e-01 -5.526591e-01 0.15443182 0.55265909 -7.922483e-02 3.029993e-10 4.226851e-01 -8.899036e-11 - actual$covM1$Item1[8, ] 4.037189e-09 -4.949857e-10 0.01714369 -0.17333425 -4.410645e-10 -6.937242e-03 -1.127421e-09 7.561601e-02 + expected$covM1$Item1[8, ] 1.196627e-09 -5.277624e-10 0.01714369 -0.17333424 -1.925294e-10 -6.937241e-03 -8.899036e-11 7.561601e-02 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item2[1, ] 2.920845e-01 -3.199023e-03 -0.292084452 0.003199033 -5.147273e-02 -2.723005e-11 -2.995311e-02 -2.347001e-09 + expected$covM1$Item2[1, ] 2.920864e-01 -3.198543e-03 -0.292086463 0.003198526 -5.147315e-02 -3.271648e-10 -2.995325e-02 3.356259e-09 - actual$covM1$Item2[2, ] -3.199023e-03 1.126841e+00 0.003199041 -1.126841745 1.862347e-01 -6.641904e-08 -1.043703e-01 8.089842e-08 + expected$covM1$Item2[2, ] -3.198543e-03 1.126846e+00 0.003198656 -1.126845803 1.862366e-01 3.522595e-08 -1.043706e-01 -4.564817e-08 - actual$covM1$Item2[3, ] -2.920845e-01 3.199041e-03 0.512845949 -0.046431906 5.147273e-02 -3.890378e-02 2.995311e-02 -2.857852e-02 + expected$covM1$Item2[3, ] -2.920865e-01 3.198656e-03 0.512848135 -0.046431764 5.147317e-02 -3.890387e-02 2.995324e-02 -2.857854e-02 - actual$covM1$Item2[4, ] 3.199033e-03 -1.126842e+00 -0.046431906 1.795472848 -1.862348e-01 1.069346e-01 1.043703e-01 -1.002398e-01 + expected$covM1$Item2[4, ] 3.198526e-03 -1.126846e+00 -0.046431764 1.795474569 -1.862365e-01 1.069345e-01 1.043706e-01 -1.002397e-01 - actual$covM1$Item2[5, ] -5.147273e-02 1.862347e-01 0.051472733 -0.186234775 4.426819e-02 -1.093953e-08 -1.393825e-02 1.373951e-08 + expected$covM1$Item2[5, ] -5.147315e-02 1.862366e-01 0.051473171 -0.186236543 4.426883e-02 5.861502e-09 -1.393838e-02 -8.107187e-09 - actual$covM1$Item2[6, ] -2.723005e-11 -6.641904e-08 -0.038903782 0.106934650 -1.093953e-08 2.528929e-02 6.174213e-09 -1.272103e-02 + expected$covM1$Item2[6, ] -3.271648e-10 3.522595e-08 -0.038903870 0.106934518 5.861502e-09 2.528932e-02 -3.239166e-09 -1.272106e-02 - actual$covM1$Item2[7, ] -2.995311e-02 -1.043703e-01 0.029953109 0.104370332 -1.393825e-02 6.174213e-09 1.601268e-02 -7.273687e-09 + expected$covM1$Item2[7, ] -2.995325e-02 -1.043706e-01 0.029953242 0.104370609 -1.393838e-02 -3.239166e-09 1.601270e-02 3.893843e-09 - actual$covM1$Item2[8, ] -2.347001e-09 8.089842e-08 -0.028578524 -0.100239812 1.373951e-08 -1.272103e-02 -7.273687e-09 2.458294e-02 + expected$covM1$Item2[8, ] 3.356259e-09 -4.564817e-08 -0.028578543 -0.100239739 -8.107187e-09 -1.272106e-02 3.893843e-09 2.458302e-02 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 4.334626e+00 -8.249812e+00 -4.33462451 8.24981115 -3.841539e-02 -3.203903e-09 2.162916e-02 -3.076136e-08 + expected$covM1$Item3[1, ] 4.334446e+00 -8.249372e+00 -4.33444541 8.24937142 -3.841561e-02 -2.057220e-09 2.162888e-02 -7.358697e-08 - actual$covM1$Item3[2, ] -8.249812e+00 2.079034e+01 8.24980869 -20.79033938 6.465402e-02 7.472763e-09 -1.148981e-01 9.156664e-08 + expected$covM1$Item3[2, ] -8.249372e+00 2.078912e+01 8.24936941 -20.78912255 6.465406e-02 5.115723e-09 -1.148973e-01 1.849125e-07 - actual$covM1$Item3[3, ] -4.334625e+00 8.249809e+00 11.56138703 -12.72886492 3.841538e-02 -3.024929e-02 -2.162914e-02 3.706771e-01 + expected$covM1$Item3[3, ] -4.334445e+00 8.249369e+00 11.56150188 -12.72859066 3.841560e-02 -3.024918e-02 -2.162887e-02 3.706790e-01 - actual$covM1$Item3[4, ] 8.249811e+00 -2.079034e+01 -12.72886492 23.68718014 -6.465402e-02 1.730726e-02 1.148981e-01 -2.927443e-01 + expected$covM1$Item3[4, ] 8.249371e+00 -2.078912e+01 -12.72859066 23.68605422 -6.465406e-02 1.730713e-02 1.148973e-01 -2.927432e-01 - actual$covM1$Item3[5, ] -3.841539e-02 6.465402e-02 0.03841538 -0.06465402 1.079955e-03 2.610878e-11 -2.264707e-04 2.177306e-10 + expected$covM1$Item3[5, ] -3.841561e-02 6.465406e-02 0.03841560 -0.06465406 1.079974e-03 1.623747e-11 -2.264845e-04 5.776202e-10 - actual$covM1$Item3[6, ] -3.203903e-09 7.472763e-09 -0.03024929 0.01730726 2.610878e-11 6.401135e-04 -3.590861e-11 -1.346910e-03 + expected$covM1$Item3[6, ] -2.057220e-09 5.115723e-09 -0.03024918 0.01730713 1.623747e-11 6.401066e-04 -2.765834e-11 -1.346849e-03 - actual$covM1$Item3[7, ] 2.162916e-02 -1.148981e-01 -0.02162914 0.11489808 -2.264707e-04 -3.590861e-11 2.906473e-03 -6.319168e-10 + expected$covM1$Item3[7, ] 2.162888e-02 -1.148973e-01 -0.02162887 0.11489733 -2.264845e-04 -2.765834e-11 2.906535e-03 -1.017198e-09 - actual$covM1$Item3[8, ] -3.076136e-08 9.156664e-08 0.37067707 -0.29274425 2.177306e-10 -1.346910e-03 -6.319168e-10 7.114985e-02 + expected$covM1$Item3[8, ] -7.358697e-08 1.849125e-07 0.37067897 -0.29274324 5.776202e-10 -1.346849e-03 -1.017198e-09 7.114814e-02 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item4[1, ] 4.605750e-01 -4.195114e-01 -0.46057554 0.41950979 -4.240260e-02 -5.125112e-08 1.417469e-02 2.968365e-07 + expected$covM1$Item4[1, ] 4.605747e-01 -4.195110e-01 -0.46057468 0.41951095 -4.240261e-02 -2.729893e-09 1.417466e-02 -3.986183e-08 - actual$covM1$Item4[2, ] -4.195114e-01 1.000288e+00 0.41951264 -1.00028455 5.798113e-02 1.227086e-07 -1.698002e-01 -7.089709e-07 + expected$covM1$Item4[2, ] -4.195110e-01 1.000288e+00 0.41951077 -1.00028781 5.798115e-02 6.925894e-09 -1.698003e-01 9.370473e-08 - actual$covM1$Item4[3, ] -4.605755e-01 4.195126e-01 0.64847465 -0.53978511 4.240267e-02 -2.736934e-02 -1.417490e-02 -1.341895e-02 + expected$covM1$Item4[3, ] -4.605747e-01 4.195108e-01 0.64847283 -0.53978445 4.240260e-02 -2.736931e-02 -1.417463e-02 -1.341862e-02 - actual$covM1$Item4[4, ] 4.195098e-01 -1.000285e+00 -0.53978511 1.66989387 -5.798090e-02 5.789006e-02 1.697995e-01 -8.076625e-02 + expected$covM1$Item4[4, ] 4.195110e-01 -1.000288e+00 -0.53978445 1.66990660 -5.798115e-02 5.789044e-02 1.698003e-01 -8.076784e-02 - actual$covM1$Item4[5, ] -4.240260e-02 5.798113e-02 0.04240267 -0.05798090 6.111580e-03 7.099279e-09 -7.517239e-03 -4.106337e-08 + expected$covM1$Item4[5, ] -4.240261e-02 5.798115e-02 0.04240260 -0.05798115 6.111586e-03 3.903515e-10 -7.517253e-03 5.467317e-09 - actual$covM1$Item4[6, ] -5.125112e-08 1.227086e-07 -0.02736934 0.05789006 7.099279e-09 8.938271e-03 -2.087235e-08 -5.334050e-03 + expected$covM1$Item4[6, ] -2.729893e-09 6.925894e-09 -0.02736931 0.05789044 3.903515e-10 8.938273e-03 -1.210700e-09 -5.334094e-03 - actual$covM1$Item4[7, ] 1.417469e-02 -1.698002e-01 -0.01417490 0.16979954 -7.517239e-03 -2.087235e-08 4.677417e-02 1.204487e-07 + expected$covM1$Item4[7, ] 1.417466e-02 -1.698003e-01 -0.01417463 0.16980031 -7.517253e-03 -1.210700e-09 4.677425e-02 -1.579370e-08 - actual$covM1$Item4[8, ] 2.968365e-07 -7.089709e-07 -0.01341895 -0.08076625 -4.106337e-08 -5.334050e-03 1.204487e-07 1.818956e-02 + expected$covM1$Item4[8, ] -3.986183e-08 9.370473e-08 -0.01341862 -0.08076784 5.467317e-09 -5.334094e-03 -1.579370e-08 1.818966e-02 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 4.725182e+00 7.301494e+00 -4.72518181 -7.30149377 6.520666e-02 3.343273e-08 -4.239310e-02 -5.417823e-09 + expected$covM1$Item5[1, ] 4.725317e+00 7.301706e+00 -4.72531649 -7.30170625 6.520696e-02 -1.977456e-08 -4.239309e-02 -4.307065e-09 - actual$covM1$Item5[2, ] 7.301494e+00 1.276855e+01 -7.30149398 -12.76855050 1.736491e-01 5.109414e-08 -5.343119e-02 -1.019186e-08 + expected$covM1$Item5[2, ] 7.301706e+00 1.276891e+01 -7.30170616 -12.76891174 1.736495e-01 -4.128512e-08 -5.343107e-02 -5.517984e-09 - actual$covM1$Item5[3, ] -4.725182e+00 -7.301494e+00 5.29363925 7.57227166 -6.520666e-02 -4.397291e-02 4.239310e-02 -5.190854e-02 + expected$covM1$Item5[3, ] -4.725316e+00 -7.301706e+00 5.29379647 7.57262360 -6.520696e-02 -4.393674e-02 4.239309e-02 -5.191010e-02 - actual$covM1$Item5[4, ] -7.301494e+00 -1.276855e+01 7.57227166 14.24975631 -1.736491e-01 3.577181e-01 5.343119e-02 -1.019447e-01 + expected$covM1$Item5[4, ] -7.301706e+00 -1.276891e+01 7.57262360 14.25025673 -1.736495e-01 3.576495e-01 5.343107e-02 -1.019333e-01 - actual$covM1$Item5[5, ] 6.520666e-02 1.736491e-01 -0.06520666 -0.17364906 9.267469e-03 4.335484e-10 -3.700523e-04 -1.640380e-10 + expected$covM1$Item5[5, ] 6.520696e-02 1.736495e-01 -0.06520696 -0.17364947 9.267359e-03 -7.991074e-10 -3.700354e-04 -3.646818e-12 - actual$covM1$Item5[6, ] 3.343273e-08 5.109414e-08 -0.04397291 0.35771806 4.335484e-10 1.172701e-01 -3.045584e-10 -1.976854e-02 + expected$covM1$Item5[6, ] -1.977456e-08 -4.128512e-08 -0.04393674 0.35764947 -7.991074e-10 1.172200e-01 9.022373e-11 -1.976028e-02 - actual$covM1$Item5[7, ] -4.239310e-02 -5.343119e-02 0.04239310 0.05343119 -3.700523e-04 -3.045584e-10 1.932353e-03 3.381711e-11 + expected$covM1$Item5[7, ] -4.239309e-02 -5.343107e-02 0.04239309 0.05343107 -3.700354e-04 9.022373e-11 1.932340e-03 4.788357e-11 - actual$covM1$Item5[8, ] -5.417823e-09 -1.019186e-08 -0.05190854 -0.10194468 -1.640380e-10 -1.976854e-02 3.381711e-11 1.155816e-02 + expected$covM1$Item5[8, ] -4.307065e-09 -5.517984e-09 -0.05191010 -0.10193327 -3.646818e-12 -1.976028e-02 4.788357e-11 1.155534e-02 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 1.023985e+00 -1.219229e-01 -1.02398476 0.12192293 -5.249474e-02 4.354011e-09 -3.329611e-01 4.607139e-09 + expected$covM1$Item7[1, ] 1.023985e+00 -1.219231e-01 -1.02398472 0.12192314 -5.249475e-02 -8.295430e-10 -3.329609e-01 1.407954e-08 - actual$covM1$Item7[2, ] -1.219229e-01 1.553990e+00 0.12192292 -1.55398997 1.286466e-01 -6.125015e-09 -1.113128e+00 1.255416e-08 + expected$covM1$Item7[2, ] -1.219231e-01 1.553990e+00 0.12192318 -1.55398973 1.286465e-01 -4.508746e-09 -1.113128e+00 -9.269402e-09 - actual$covM1$Item7[3, ] -1.023985e+00 1.219229e-01 1.65010645 -0.09561595 5.249474e-02 -4.696178e-02 3.329611e-01 -2.645635e-01 + expected$covM1$Item7[3, ] -1.023985e+00 1.219232e-01 1.65010640 -0.09561619 5.249475e-02 -4.696178e-02 3.329609e-01 -2.645635e-01 - actual$covM1$Item7[4, ] 1.219229e-01 -1.553990e+00 -0.09561595 2.43649902 -1.286466e-01 1.638974e-01 1.113128e+00 -6.593165e-01 + expected$covM1$Item7[4, ] 1.219231e-01 -1.553990e+00 -0.09561619 2.43649893 -1.286465e-01 1.638974e-01 1.113128e+00 -6.593166e-01 - actual$covM1$Item7[5, ] -5.249474e-02 1.286466e-01 0.05249474 -0.12864657 1.422336e-02 -6.689628e-10 -7.834378e-02 8.055493e-10 + expected$covM1$Item7[5, ] -5.249475e-02 1.286465e-01 0.05249475 -0.12864653 1.422335e-02 -3.237951e-10 -7.834374e-02 -1.325472e-09 - actual$covM1$Item7[6, ] 4.354011e-09 -6.125015e-09 -0.04696178 0.16389741 -6.689628e-10 3.753075e-02 2.782516e-09 -1.067286e-01 + expected$covM1$Item7[6, ] -8.295430e-10 -4.508746e-09 -0.04696178 0.16389743 -3.237951e-10 3.753075e-02 3.719891e-09 -1.067287e-01 - actual$covM1$Item7[7, ] -3.329611e-01 -1.113128e+00 0.33296111 1.11312822 -7.834378e-02 2.782516e-09 9.942480e-01 -1.130951e-08 + expected$covM1$Item7[7, ] -3.329609e-01 -1.113128e+00 0.33296089 1.11312790 -7.834374e-02 3.719891e-09 9.942476e-01 1.107574e-09 - actual$covM1$Item7[8, ] 4.607139e-09 1.255416e-08 -0.26456349 -0.65931655 8.055493e-10 -1.067286e-01 -1.130951e-08 6.043679e-01 + expected$covM1$Item7[8, ] 1.407954e-08 -9.269402e-09 -0.26456349 -0.65931662 -1.325472e-09 -1.067287e-01 1.107574e-09 6.043679e-01 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 8.766343e-01 -7.940131e-01 -0.87663432 0.79401312 -4.200807e-02 -1.428100e-11 3.004740e-02 -1.706962e-09 + expected$covM1$Item8[1, ] 8.766398e-01 -7.940171e-01 -0.87663991 0.79401710 -4.200806e-02 6.564617e-10 3.004821e-02 5.133452e-09 - actual$covM1$Item8[2, ] -7.940131e-01 1.564293e+00 0.79401310 -1.56429335 5.124294e-02 6.159193e-11 -1.960283e-01 7.872335e-10 + expected$covM1$Item8[2, ] -7.940171e-01 1.564289e+00 0.79401718 -1.56428929 5.124268e-02 -1.361904e-09 -1.960298e-01 -7.448746e-09 - actual$covM1$Item8[3, ] -8.766343e-01 7.940131e-01 2.87749008 -3.00123965 4.200807e-02 -5.795561e-02 -3.004740e-02 1.497020e-02 + expected$covM1$Item8[3, ] -8.766399e-01 7.940172e-01 2.87749865 -3.00125099 4.200806e-02 -5.795558e-02 -3.004822e-02 1.497023e-02 - actual$covM1$Item8[4, ] 7.940131e-01 -1.564293e+00 -3.00123965 7.43326276 -5.124294e-02 8.818287e-02 1.960283e-01 -2.179838e-01 + expected$covM1$Item8[4, ] 7.940171e-01 -1.564289e+00 -3.00125099 7.43327512 -5.124269e-02 8.818284e-02 1.960298e-01 -2.179834e-01 - actual$covM1$Item8[5, ] -4.200807e-02 5.124294e-02 0.04200807 -0.05124294 3.111826e-03 1.443978e-12 -4.895365e-03 6.994986e-11 + expected$covM1$Item8[5, ] -4.200806e-02 5.124268e-02 0.04200806 -0.05124269 3.111804e-03 -4.343658e-11 -4.895392e-03 -2.896919e-10 - actual$covM1$Item8[6, ] -1.428100e-11 6.159193e-11 -0.05795561 0.08818287 1.443978e-12 2.854864e-03 -1.020877e-11 -2.511802e-03 + expected$covM1$Item8[6, ] 6.564617e-10 -1.361904e-09 -0.05795558 0.08818284 -4.343658e-11 2.854858e-03 1.757752e-10 -2.511788e-03 - actual$covM1$Item8[7, ] 3.004740e-02 -1.960283e-01 -0.03004740 0.19602830 -4.895365e-03 -1.020877e-11 3.962826e-02 9.307385e-11 + expected$covM1$Item8[7, ] 3.004821e-02 -1.960298e-01 -0.03004822 0.19602983 -4.895392e-03 1.757752e-10 3.962896e-02 7.350922e-10 - actual$covM1$Item8[8, ] -1.706962e-09 7.872335e-10 0.01497020 -0.21798384 6.994986e-11 -2.511802e-03 9.307385e-11 1.504333e-02 + expected$covM1$Item8[8, ] 5.133452e-09 -7.448746e-09 0.01497023 -0.21798341 -2.896919e-10 -2.511788e-03 7.350922e-10 1.504325e-02 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item9[1, ] 8.742616e-01 9.601241e-01 -0.87426157 -0.96012415 1.101235e-01 -2.390244e-08 -3.628654e-02 1.319185e-09 + expected$covM1$Item9[1, ] 8.798109e-01 9.674735e-01 -0.87981075 -0.96747332 1.109757e-01 6.547704e-08 -3.630032e-02 -5.345972e-09 - actual$covM1$Item9[2, ] 9.601241e-01 1.838874e+00 -0.96012409 -1.83887440 4.285296e-01 -3.432237e-08 -4.468660e-02 -2.094368e-10 + expected$covM1$Item9[2, ] 9.674735e-01 1.843588e+00 -0.96747335 -1.84358732 4.270407e-01 1.121885e-07 -4.458369e-02 -8.331971e-09 - actual$covM1$Item9[3, ] -8.742616e-01 -9.601241e-01 1.35387474 1.25088103 -1.101235e-01 -1.786138e-02 3.628654e-02 -3.608647e-02 + expected$covM1$Item9[3, ] -8.798107e-01 -9.674734e-01 1.35934794 1.25787258 -1.109757e-01 -1.801631e-02 3.630031e-02 -3.608348e-02 - actual$covM1$Item9[4, ] -9.601241e-01 -1.838874e+00 1.25088103 2.94519948 -4.285296e-01 4.764344e-01 4.468660e-02 -6.287813e-02 + expected$covM1$Item9[4, ] -9.674733e-01 -1.843587e+00 1.25787258 2.94981007 -4.270407e-01 4.765576e-01 4.458368e-02 -6.290271e-02 - actual$covM1$Item9[5, ] 1.101235e-01 4.285296e-01 -0.11012351 -0.42852962 1.462310e-01 -6.176055e-09 -7.878486e-03 -4.840182e-10 + expected$covM1$Item9[5, ] 1.109757e-01 4.270407e-01 -0.11097567 -0.42704067 1.450431e-01 2.397943e-08 -7.809586e-03 -1.634008e-09 - actual$covM1$Item9[6, ] -2.390244e-08 -3.432237e-08 -0.01786138 0.47643444 -6.176055e-09 2.667241e-01 1.041847e-09 -2.210329e-02 + expected$covM1$Item9[6, ] 6.547704e-08 1.121885e-07 -0.01801631 0.47655756 2.397943e-08 2.668684e-01 -2.942047e-09 -2.212035e-02 - actual$covM1$Item9[7, ] -3.628654e-02 -4.468660e-02 0.03628654 0.04468660 -7.878486e-03 1.041847e-09 2.738535e-03 -4.453027e-11 + expected$covM1$Item9[7, ] -3.630032e-02 -4.458369e-02 0.03630031 0.04458368 -7.809586e-03 -2.942047e-09 2.726601e-03 2.352535e-10 - actual$covM1$Item9[8, ] 1.319185e-09 -2.094368e-10 -0.03608647 -0.06287813 -4.840182e-10 -2.210329e-02 -4.453027e-11 6.039953e-03 + expected$covM1$Item9[8, ] -5.345972e-09 -8.331971e-09 -0.03608348 -0.06290271 -1.634008e-09 -2.212035e-02 2.352535e-10 6.044059e-03 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item11[1, ] 7.807359e-01 -2.760156e-01 -0.78073564 0.27601426 -1.754586e-01 -5.550968e-07 -3.596027e-02 -1.000467e-08 + expected$covM1$Item11[1, ] 7.807353e-01 -2.760185e-01 -0.78073477 0.27601946 -1.754600e-01 2.093162e-07 -3.595945e-02 8.197171e-08 - actual$covM1$Item11[2, ] -2.760156e-01 1.816331e+00 0.27601561 -1.81633054 4.313826e-01 2.292807e-07 -3.278961e-01 -6.768686e-09 + expected$covM1$Item11[2, ] -2.760185e-01 1.816330e+00 0.27601835 -1.81632993 4.313851e-01 -5.734700e-08 -3.278955e-01 -2.243248e-08 - actual$covM1$Item11[3, ] -7.807356e-01 2.760156e-01 2.04752596 1.01247276 1.754585e-01 2.079424e-01 3.596023e-02 -3.718182e-02 + expected$covM1$Item11[3, ] -7.807348e-01 2.760183e-01 2.04752087 1.01246398 1.754599e-01 2.079411e-01 3.595943e-02 -3.718190e-02 - actual$covM1$Item11[4, ] 2.760143e-01 -1.816331e+00 1.01247276 3.55455961 -4.313822e-01 4.182145e-01 3.278961e-01 -3.740009e-02 + expected$covM1$Item11[4, ] 2.760195e-01 -1.816330e+00 1.01246398 3.55455663 -4.313853e-01 4.182146e-01 3.278955e-01 -3.740009e-02 - actual$covM1$Item11[5, ] -1.754586e-01 4.313826e-01 0.17545854 -0.43138224 1.235907e-01 1.318489e-07 -6.825871e-02 3.375488e-11 + expected$covM1$Item11[5, ] -1.754600e-01 4.313851e-01 0.17545990 -0.43138527 1.235922e-01 -4.346219e-08 -6.825909e-02 -1.701502e-08 - actual$covM1$Item11[6, ] -5.550968e-07 2.292807e-07 0.20794237 0.41821447 1.318489e-07 1.455109e-01 1.902064e-08 -7.068006e-03 + expected$covM1$Item11[6, ] 2.093162e-07 -5.734700e-08 0.20794107 0.41821455 -4.346219e-08 1.455111e-01 -1.294113e-08 -7.068018e-03 - actual$covM1$Item11[7, ] -3.596027e-02 -3.278961e-01 0.03596023 0.32789613 -6.825871e-02 1.902064e-08 7.367610e-02 2.503109e-09 + expected$covM1$Item11[7, ] -3.595945e-02 -3.278955e-01 0.03595943 0.32789550 -6.825909e-02 -1.294113e-08 7.367589e-02 -5.073028e-09 - actual$covM1$Item11[8, ] -1.000467e-08 -6.768686e-09 -0.03718182 -0.03740009 3.375488e-11 -7.068006e-03 2.503109e-09 2.189238e-03 + expected$covM1$Item11[8, ] 8.197171e-08 -2.243248e-08 -0.03718190 -0.03740009 -1.701502e-08 -7.068018e-03 -5.073028e-09 2.189241e-03 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item12[1, ] 3.127186e+00 1.381027e+00 -3.12718590 -1.3810275 5.730381e-02 2.880074e-08 -2.896733e+00 -1.548652e-08 + expected$covM1$Item12[1, ] 3.127472e+00 1.381234e+00 -3.12747187 -1.3812325 5.733142e-02 1.257017e-07 -2.897112e+00 -7.513590e-07 - actual$covM1$Item12[2, ] 1.381027e+00 2.651823e+00 -1.38102741 -2.6518234 2.926675e-01 6.551605e-08 -3.306233e+00 -1.452845e-07 + expected$covM1$Item12[2, ] 1.381234e+00 2.651884e+00 -1.38123303 -2.6518823 2.927018e-01 2.409797e-07 -3.306452e+00 -1.405337e-06 - actual$covM1$Item12[3, ] -3.127186e+00 -1.381027e+00 3.82523206 1.3636693 -5.730380e-02 -5.664911e-02 2.896733e+00 -2.369135e-01 + expected$covM1$Item12[3, ] -3.127472e+00 -1.381233e+00 3.82551999 1.3638730 -5.733136e-02 -5.664925e-02 2.897111e+00 -2.369131e-01 - actual$covM1$Item12[4, ] -1.381027e+00 -2.651823e+00 1.36366927 3.6792236 -2.926675e-01 1.678791e-01 3.306232e+00 -6.592980e-01 + expected$covM1$Item12[4, ] -1.381232e+00 -2.651882e+00 1.36387304 3.6792817 -2.927016e-01 1.678784e-01 3.306449e+00 -6.592970e-01 - actual$covM1$Item12[5, ] 5.730381e-02 2.926675e-01 -0.05730380 -0.2926675 3.854043e-02 7.440749e-09 -3.253377e-01 -1.841114e-08 + expected$covM1$Item12[5, ] 5.733142e-02 2.927018e-01 -0.05733136 -0.2927016 3.854804e-02 2.659074e-08 -3.253920e-01 -1.543482e-07 - actual$covM1$Item12[6, ] 2.880074e-08 6.551605e-08 -0.05664911 0.1678791 7.440749e-09 3.445023e-02 -7.908867e-08 -9.314587e-02 + expected$covM1$Item12[6, ] 1.257017e-07 2.409797e-07 -0.05664925 0.1678784 2.659074e-08 3.444999e-02 -3.005525e-07 -9.314547e-02 - actual$covM1$Item12[7, ] -2.896733e+00 -3.306233e+00 2.89673292 3.3062324 -3.253377e-01 -7.908867e-08 4.734177e+00 1.517765e-07 + expected$covM1$Item12[7, ] -2.897112e+00 -3.306452e+00 2.89711144 3.3064491 -3.253920e-01 -3.005525e-07 4.734654e+00 1.761678e-06 - actual$covM1$Item12[8, ] -1.548652e-08 -1.452845e-07 -0.23691354 -0.6592980 -1.841114e-08 -9.314587e-02 1.517765e-07 5.271956e-01 + expected$covM1$Item12[8, ] -7.513590e-07 -1.405337e-06 -0.23691311 -0.6592970 -1.543482e-07 -9.314547e-02 1.761678e-06 5.271958e-01 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item13[1, ] 8.064152e-01 2.142673e-02 -0.80641516 -0.02142669 -7.993061e-02 1.636818e-09 -2.679589e-01 -1.489011e-08 + expected$covM1$Item13[1, ] 8.062815e-01 2.137665e-02 -0.80628143 -0.02137668 -7.995349e-02 -2.337606e-09 -2.678568e-01 1.124721e-08 - actual$covM1$Item13[2, ] 2.142673e-02 1.424664e+00 -0.02142665 -1.42466393 2.998260e-01 -4.565261e-09 -8.715699e-01 5.484169e-09 + expected$covM1$Item13[2, ] 2.137665e-02 1.424550e+00 -0.02137657 -1.42454990 2.998985e-01 -5.560359e-09 -8.714155e-01 5.142638e-09 - actual$covM1$Item13[3, ] -8.064152e-01 -2.142665e-02 1.56118375 -0.40297446 7.993062e-02 -5.525449e-02 2.679589e-01 -2.493104e-02 + expected$covM1$Item13[3, ] -8.062814e-01 -2.137657e-02 1.56116441 -0.40294359 7.995350e-02 -5.526186e-02 2.678567e-01 -2.499492e-02 - actual$covM1$Item13[4, ] -2.142669e-02 -1.424664e+00 -0.40297446 2.49040529 -2.998260e-01 7.039228e-02 8.715699e-01 -4.157453e-01 + expected$covM1$Item13[4, ] -2.137668e-02 -1.424550e+00 -0.40294359 2.49038237 -2.998985e-01 7.041145e-02 8.714156e-01 -4.159253e-01 - actual$covM1$Item13[5, ] -7.993061e-02 2.998260e-01 0.07993062 -0.29982603 7.572579e-02 -1.139429e-09 -1.619063e-01 2.722575e-09 + expected$covM1$Item13[5, ] -7.995349e-02 2.998985e-01 0.07995350 -0.29989851 7.576656e-02 -9.343695e-10 -1.619317e-01 -8.783267e-11 - actual$covM1$Item13[6, ] 1.636818e-09 -4.565261e-09 -0.05525449 0.07039228 -1.139429e-09 7.797116e-03 2.253704e-09 -2.149330e-02 + expected$covM1$Item13[6, ] -2.337606e-09 -5.560359e-09 -0.05526186 0.07041145 -9.343695e-10 7.799659e-03 4.113931e-09 -2.150748e-02 - actual$covM1$Item13[7, ] -2.679589e-01 -8.715699e-01 0.26795889 0.87156992 -1.619063e-01 2.253704e-09 6.281600e-01 1.378603e-09 + expected$covM1$Item13[7, ] -2.678568e-01 -8.714155e-01 0.26785672 0.87141558 -1.619317e-01 4.113931e-09 6.279794e-01 -6.676893e-09 - actual$covM1$Item13[8, ] -1.489011e-08 5.484169e-09 -0.02493104 -0.41574532 2.722575e-09 -2.149330e-02 1.378603e-09 2.413195e-01 + expected$covM1$Item13[8, ] 1.124721e-08 5.142638e-09 -0.02499492 -0.41592530 -8.783267e-11 -2.150748e-02 -6.676893e-09 2.414889e-01 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item14[1, ] 1.280689e+00 -8.248646e-02 -1.28068913 0.08248643 -1.805800e-01 -4.232791e-09 -2.340496e-01 1.355893e-08 + expected$covM1$Item14[1, ] 1.280631e+00 -8.256716e-02 -1.28063085 0.08256715 -1.805950e-01 -1.290947e-09 -2.339829e-01 1.567618e-08 - actual$covM1$Item14[2, ] -8.248646e-02 2.420310e+00 0.08248637 -2.42031047 6.433379e-01 -4.967035e-10 -1.073203e+00 8.194776e-08 + expected$covM1$Item14[2, ] -8.256716e-02 2.420277e+00 0.08256710 -2.42027752 6.433088e-01 -1.755481e-08 -1.073055e+00 1.413153e-07 - actual$covM1$Item14[3, ] -1.280689e+00 8.248637e-02 1.98569871 -0.28698750 1.805799e-01 -5.833192e-02 2.340496e-01 -1.265439e-01 + expected$covM1$Item14[3, ] -1.280631e+00 8.256710e-02 1.98564049 -0.28706829 1.805950e-01 -5.833193e-02 2.339830e-01 -1.265439e-01 - actual$covM1$Item14[4, ] 8.248643e-02 -2.420310e+00 -0.28698750 3.46684515 -6.433379e-01 1.047739e-01 1.073203e+00 -5.479816e-01 + expected$covM1$Item14[4, ] 8.256715e-02 -2.420278e+00 -0.28706829 3.46681278 -6.433089e-01 1.047740e-01 1.073055e+00 -5.479819e-01 - actual$covM1$Item14[5, ] -1.805800e-01 6.433379e-01 0.18057994 -0.64333794 1.962269e-01 3.955944e-10 -2.576708e-01 1.975222e-08 + expected$covM1$Item14[5, ] -1.805950e-01 6.433088e-01 0.18059495 -0.64330886 1.962133e-01 -4.431427e-09 -2.576258e-01 3.501672e-08 - actual$covM1$Item14[6, ] -4.232791e-09 -4.967035e-10 -0.05833192 0.10477395 3.955944e-10 1.492429e-02 1.120240e-09 -4.532246e-02 + expected$covM1$Item14[6, ] -1.290947e-09 -1.755481e-08 -0.05833193 0.10477401 -4.431427e-09 1.492429e-02 8.183292e-09 -4.532248e-02 - actual$covM1$Item14[7, ] -2.340496e-01 -1.073203e+00 0.23404961 1.07320338 -2.576708e-01 1.120240e-09 5.447607e-01 -3.979985e-08 + expected$covM1$Item14[7, ] -2.339829e-01 -1.073055e+00 0.23398298 1.07305485 -2.576258e-01 8.183292e-09 5.446221e-01 -6.699407e-08 - actual$covM1$Item14[8, ] 1.355893e-08 8.194776e-08 -0.12654395 -0.54798159 1.975222e-08 -4.532246e-02 -3.979985e-08 3.868084e-01 + expected$covM1$Item14[8, ] 1.567618e-08 1.413153e-07 -0.12654394 -0.54798186 3.501672e-08 -4.532248e-02 -6.699407e-08 3.868085e-01 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 7.567531e-01 -3.478852e-01 -0.756753122 0.3478852 -3.346144e-01 2.669713e-09 -9.463113e-03 7.453110e-09 + expected$covM1$Item15[1, ] 7.567530e-01 -3.478851e-01 -0.756752960 0.3478852 -3.346146e-01 4.800417e-08 -9.463110e-03 -9.087928e-08 - actual$covM1$Item15[2, ] -3.478852e-01 1.543360e+00 0.347885190 -1.5433602 7.202396e-01 3.590283e-11 -4.126528e-01 -1.598593e-08 + expected$covM1$Item15[2, ] -3.478851e-01 1.543361e+00 0.347885028 -1.5433610 7.202405e-01 -4.379173e-08 -4.126532e-01 9.072165e-08 - actual$covM1$Item15[3, ] -7.567531e-01 3.478852e-01 2.467796429 -0.2699703 3.346144e-01 -2.445486e-01 9.463118e-03 -5.706363e-01 + expected$covM1$Item15[3, ] -7.567530e-01 3.478850e-01 2.467796109 -0.2699699 3.346146e-01 -2.445485e-01 9.463119e-03 -5.706365e-01 - actual$covM1$Item15[4, ] 3.478852e-01 -1.543360e+00 -0.269970275 3.8970011 -7.202396e-01 1.277358e+00 4.126528e-01 -1.964173e+00 + expected$covM1$Item15[4, ] 3.478852e-01 -1.543361e+00 -0.269969890 3.8970026 -7.202405e-01 1.277358e+00 4.126532e-01 -1.964174e+00 - actual$covM1$Item15[5, ] -3.346144e-01 7.202396e-01 0.334614437 -0.7202396 3.891638e-01 -6.632881e-10 -1.721534e-01 -8.437815e-09 + expected$covM1$Item15[5, ] -3.346146e-01 7.202405e-01 0.334614569 -0.7202405 3.891645e-01 -3.012040e-08 -1.721537e-01 6.022311e-08 - actual$covM1$Item15[6, ] 2.669713e-09 3.590283e-11 -0.244548646 1.2773577 -6.632881e-10 7.509712e-01 -4.141428e-10 -9.922102e-01 + expected$covM1$Item15[6, ] 4.800417e-08 -4.379173e-08 -0.244548483 1.2773580 -3.012040e-08 7.509712e-01 5.947845e-09 -9.922104e-01 - actual$covM1$Item15[7, ] -9.463113e-03 -4.126528e-01 0.009463118 0.4126528 -1.721534e-01 -4.141428e-10 1.323465e-01 3.692613e-09 + expected$covM1$Item15[7, ] -9.463110e-03 -4.126532e-01 0.009463119 0.4126532 -1.721537e-01 5.947845e-09 1.323466e-01 -1.361648e-08 - actual$covM1$Item15[8, ] 7.453110e-09 -1.598593e-08 -0.570636316 -1.9641733 -8.437815e-09 -9.922102e-01 3.692613e-09 1.807395e+00 + expected$covM1$Item15[8, ] -9.087928e-08 9.072165e-08 -0.570636491 -1.9641739 6.022311e-08 -9.922104e-01 -1.361648e-08 1.807395e+00 actual$pval | expected$pval [6] 0.405245477 | 0.405245477 [6] [7] 0.912261531 | 0.912261531 [7] [8] 0.008466079 | 0.008466079 [8] [9] 0.942892780 - 0.942886693 [9] [10] 0.819181914 | 0.819181914 [10] [11] 0.000046934 | 0.000046934 [11] [12] 0.199219856 - 0.199219857 [12] [13] 0.790367114 - 0.790367502 [13] [14] 0.929713023 - 0.929713022 [14] [15] 0.011556967 | 0.011556967 [15] actual$adj.pval | expected$adj.pval [6] 0.405245477 | 0.405245477 [6] [7] 0.912261531 | 0.912261531 [7] [8] 0.008466079 | 0.008466079 [8] [9] 0.942892780 - 0.942886693 [9] [10] 0.819181914 | 0.819181914 [10] [11] 0.000046934 | 0.000046934 [11] [12] 0.199219856 - 0.199219857 [12] [13] 0.790367114 - 0.790367502 [13] [14] 0.929713023 - 0.929713022 [14] [15] 0.011556967 | 0.011556967 [15] ── Failure ('test-difNLR.R:165:3'): use different estimation methods on generated data ── `fit_nls` (`actual`) not equal to `fit_nls_gen` (`expected`). actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] 0.8620892 - 0.8620825 [8] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.54915540 - 0.54916309 [1] [2] 0.84406770 - 0.84407406 [2] [3] 0.65457360 - 0.65457970 [3] [4] 1.04476946 - 1.04477916 [4] [5] 0.30726339 - 0.30725777 [5] [6] 0.15671688 - 0.15671017 [6] [7] 0.04447330 - 0.04447248 [7] [8] 0.08169499 - 0.08169150 [8] `actual$parM0$Item5`: 1.232878141 1.514612611 0.000000000 0.871219470 `expected$parM0$Item5`: 1.232877680 1.514612442 0.000000000 0.871219535 `actual$seM0$Item5`: 0.304514975 0.493226339 0.194402286 0.051007357 `expected$seM0$Item5`: 0.304514933 0.493226262 0.194402274 0.051007369 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.092729370 0.02218341 -0.018079145 -0.008216770 + expected$covM0$Item5[1, ] 0.092729344 0.02218336 -0.018079156 -0.008216768 - actual$covM0$Item5[2, ] 0.022183413 0.24327222 0.083423481 -0.019990230 + expected$covM0$Item5[2, ] 0.022183362 0.24327215 0.083423465 -0.019990232 - actual$covM0$Item5[3, ] -0.018079145 0.08342348 0.037792249 -0.005582864 + expected$covM0$Item5[3, ] -0.018079156 0.08342347 0.037792244 -0.005582865 - actual$covM0$Item5[4, ] -0.008216770 -0.01999023 -0.005582864 0.002601750 + expected$covM0$Item5[4, ] -0.008216768 -0.01999023 -0.005582865 0.002601752 actual$parM1$Item5 | expected$parM1$Item5 [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] 0.8620892 - 0.8620825 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 0.54915540 - 0.54916309 [1] [2] 0.84406770 - 0.84407406 [2] [3] 0.65457360 - 0.65457970 [3] [4] 1.04476946 - 1.04477916 [4] [5] 0.30726339 - 0.30725777 [5] [6] 0.15671688 - 0.15671017 [6] [7] 0.04447330 - 0.04447248 [7] [8] 0.08169499 - 0.08169150 [8] actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 3.015717e-01 2.658844e-01 -0.30157165 -0.26588439 1.415115e-02 -7.765957e-09 -1.789503e-02 3.887824e-10 + expected$covM1$Item5[1, ] 3.015801e-01 2.659004e-01 -0.30158009 -0.26590045 1.415493e-02 -5.251808e-09 -1.789510e-02 -1.291794e-09 - actual$covM1$Item5[2, ] 2.658844e-01 7.124503e-01 -0.26588432 -0.71245037 2.173269e-01 -1.908533e-08 -2.656829e-02 -6.231776e-10 + expected$covM1$Item5[2, ] 2.659004e-01 7.124610e-01 -0.26590040 -0.71246105 2.173239e-01 -1.335755e-08 -2.656779e-02 -2.820778e-09 - actual$covM1$Item5[3, ] -3.015716e-01 -2.658843e-01 0.42846660 0.28114910 -1.415114e-02 -2.078266e-02 1.789503e-02 -1.457317e-02 + expected$covM1$Item5[3, ] -3.015801e-01 -2.659004e-01 0.42847459 0.28117118 -1.415492e-02 -2.078071e-02 1.789510e-02 -1.457318e-02 - actual$covM1$Item5[4, ] -2.658844e-01 -7.124504e-01 0.28114910 1.09154322 -2.173269e-01 8.242634e-02 2.656829e-02 -3.957643e-02 + expected$covM1$Item5[4, ] -2.659004e-01 -7.124611e-01 0.28117118 1.09156349 -2.173239e-01 8.242330e-02 2.656779e-02 -3.957481e-02 - actual$covM1$Item5[5, ] 1.415115e-02 2.173269e-01 -0.01415114 -0.21732693 9.441079e-02 -5.608932e-09 -6.384210e-03 -3.956964e-10 + expected$covM1$Item5[5, ] 1.415493e-02 2.173239e-01 -0.01415492 -0.21732389 9.440734e-02 -3.986279e-09 -6.383889e-03 -7.813329e-10 - actual$covM1$Item5[6, ] -7.765957e-09 -1.908533e-08 -0.02078266 0.08242634 -5.608932e-09 2.456018e-02 7.370917e-10 -6.934005e-03 + expected$covM1$Item5[6, ] -5.251808e-09 -1.335755e-08 -0.02078071 0.08242330 -3.986279e-09 2.455808e-02 5.086183e-10 -6.933248e-03 - actual$covM1$Item5[7, ] -1.789503e-02 -2.656829e-02 0.01789503 0.02656829 -6.384210e-03 7.370917e-10 1.977874e-03 -1.264911e-12 + expected$covM1$Item5[7, ] -1.789510e-02 -2.656779e-02 0.01789510 0.02656779 -6.383889e-03 5.086183e-10 1.977802e-03 1.146141e-10 - actual$covM1$Item5[8, ] 3.887824e-10 -6.231776e-10 -0.01457317 -0.03957643 -3.956964e-10 -6.934005e-03 -1.264911e-12 6.674072e-03 + expected$covM1$Item5[8, ] -1.291794e-09 -2.820778e-09 -0.01457318 -0.03957481 -7.813329e-10 -6.933248e-03 1.146141e-10 6.673501e-03 ── Failure ('test-difNLR.R:170:3'): use different estimation methods on generated data ── `fit_nls_sandwich` (`actual`) not equal to `fit_nls_sandwich_gen` (`expected`). actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] 0.8620892 - 0.8620825 [8] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.898054077 - 0.898125048 [1] [2] 1.145900684 - 1.146037933 [2] [3] 0.968659865 - 0.968728041 [3] [4] 1.267279516 - 1.267414996 [4] [5] 0.231390597 - 0.231419212 [5] [6] 0.144496192 - 0.144496217 [6] [7] 0.057828143 - 0.057831620 [7] [8] 0.060129074 - 0.060127810 [8] `actual$parM0$Item5`: 1.232878141 1.514612611 0.000000000 0.871219470 `expected$parM0$Item5`: 1.232877680 1.514612442 0.000000000 0.871219535 `actual$seM0$Item5`: 0.314918894 0.242058544 0.068931615 0.038258398 `expected$seM0$Item5`: 0.314918880 0.242058687 0.068931742 0.038258408 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.099173910 0.049625200 -7.867605e-03 -9.889455e-03 + expected$covM0$Item5[1, ] 0.099173901 0.049625156 -7.867623e-03 -9.889454e-03 - actual$covM0$Item5[2, ] 0.049625200 0.058592339 5.702116e-03 -6.713308e-03 + expected$covM0$Item5[2, ] 0.049625156 0.058592408 5.702152e-03 -6.713314e-03 - actual$covM0$Item5[3, ] -0.007867605 0.005702116 4.751567e-03 -4.025613e-05 + expected$covM0$Item5[3, ] -0.007867623 0.005702152 4.751585e-03 -4.025802e-05 - actual$covM0$Item5[4, ] -0.009889455 -0.006713308 -4.025613e-05 1.463705e-03 + expected$covM0$Item5[4, ] -0.009889454 -0.006713314 -4.025802e-05 1.463706e-03 actual$parM1$Item5 | expected$parM1$Item5 [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] 0.8620892 - 0.8620825 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 0.898054077 - 0.898125048 [1] [2] 1.145900684 - 1.146037933 [2] [3] 0.968659865 - 0.968728041 [3] [4] 1.267279516 - 1.267414996 [4] [5] 0.231390597 - 0.231419212 [5] [6] 0.144496192 - 0.144496217 [6] [7] 0.057828143 - 0.057831620 [7] [8] 0.060129074 - 0.060127810 [8] actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 8.065011e-01 9.536110e-01 -0.806501125 -0.95361099 1.354589e-01 2.321369e-15 -4.769470e-02 -9.448285e-16 + expected$covM1$Item5[1, ] 8.066286e-01 9.538102e-01 -0.806628601 -0.95381019 1.354999e-01 9.160424e-16 -4.770186e-02 -2.027088e-16 - actual$covM1$Item5[2, ] 9.536110e-01 1.313088e+00 -0.953610994 -1.31308838 2.291171e-01 2.972146e-15 -5.935962e-02 -1.105288e-15 + expected$covM1$Item5[2, ] 9.538102e-01 1.313403e+00 -0.953810185 -1.31340294 2.291818e-01 2.202902e-15 -5.937122e-02 -4.484199e-16 - actual$covM1$Item5[3, ] -8.065011e-01 -9.536110e-01 0.938301934 0.89064989 -1.354589e-01 -3.409419e-02 4.769470e-02 -7.381539e-03 + expected$covM1$Item5[3, ] -8.066286e-01 -9.538102e-01 0.938434017 0.89084469 -1.354999e-01 -3.409460e-02 4.770186e-02 -7.381665e-03 - actual$covM1$Item5[4, ] -9.536110e-01 -1.313088e+00 0.890649887 1.60599737 -2.291171e-01 6.930664e-02 5.935962e-02 -2.003017e-02 + expected$covM1$Item5[4, ] -9.538102e-01 -1.313403e+00 0.890844685 1.60634077 -2.291818e-01 6.931029e-02 5.937122e-02 -2.003043e-02 - actual$covM1$Item5[5, ] 1.354589e-01 2.291171e-01 -0.135458885 -0.22911706 5.354161e-02 5.368794e-16 -9.660144e-03 -1.763037e-16 + expected$covM1$Item5[5, ] 1.354999e-01 2.291818e-01 -0.135499882 -0.22918185 5.355485e-02 2.927403e-16 -9.662596e-03 -6.582085e-17 - actual$covM1$Item5[6, ] 2.842171e-17 0.000000e+00 -0.034094188 0.06930664 0.000000e+00 2.087915e-02 0.000000e+00 -3.363890e-03 + expected$covM1$Item5[6, ] -4.660430e-16 -7.704185e-16 -0.034094601 0.06931029 -1.542700e-16 2.087916e-02 3.169975e-17 -3.363760e-03 - actual$covM1$Item5[7, ] -4.769470e-02 -5.935962e-02 0.047694699 0.05935962 -9.660144e-03 -1.863638e-16 3.344094e-03 5.928259e-17 + expected$covM1$Item5[7, ] -4.770186e-02 -5.937122e-02 0.047701862 0.05937122 -9.662596e-03 -9.540442e-17 3.344496e-03 1.830129e-17 - actual$covM1$Item5[8, ] 0.000000e+00 3.552714e-18 -0.007381539 -0.02003017 0.000000e+00 -3.363890e-03 0.000000e+00 3.615506e-03 + expected$covM1$Item5[8, ] -8.082891e-17 -8.063894e-17 -0.007381665 -0.02003043 -7.827221e-18 -3.363760e-03 4.872211e-18 3.615354e-03 ── Failure ('test-difNLR.R:180:3'): use different estimation methods on generated data ── `fit_plf` (`actual`) not equal to `fit_plf_gen` (`expected`). actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.592593839 - 0.592593926 [1] [2] 0.626376258 - 0.626376495 [2] [3] 0.719768145 - 0.719768172 [3] [4] 0.828728109 - 0.828728674 [4] [5] 0.238712594 - 0.238712633 [5] [6] 0.184013887 - 0.184013931 [6] [7] 0.050587889 - 0.050587902 [7] [8] 0.056021999 - 0.056022005 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 0.592593839 - 0.592593926 [1] [2] 0.626376258 - 0.626376495 [2] [3] 0.719768145 - 0.719768172 [3] [4] 0.828728109 - 0.828728674 [4] [5] 0.238712594 - 0.238712633 [5] [6] 0.184013887 - 0.184013931 [6] [7] 0.050587889 - 0.050587902 [7] [8] 0.056021999 - 0.056022005 [8] actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 3.511675e-01 2.336364e-01 -0.351167454 -0.23363638 -1.769715e-02 -3.883474e-09 -2.336643e-02 7.640685e-10 + expected$covM1$Item5[1, ] 3.511676e-01 2.336365e-01 -0.351167517 -0.23363669 -1.769711e-02 -4.501219e-08 -2.336644e-02 8.838014e-09 - actual$covM1$Item5[2, ] 2.336364e-01 3.923472e-01 -0.233636360 -0.39234725 9.643348e-02 -1.036383e-08 -2.573793e-02 1.998557e-09 + expected$covM1$Item5[2, ] 2.336365e-01 3.923475e-01 -0.233636467 -0.39234778 9.643355e-02 -8.013877e-08 -2.573794e-02 1.565737e-08 - actual$covM1$Item5[3, ] -3.511675e-01 -2.336364e-01 0.518066182 0.15521172 1.769715e-02 -5.271660e-02 2.336643e-02 -6.925668e-03 + expected$covM1$Item5[3, ] -3.511675e-01 -2.336365e-01 0.518066221 0.15521191 1.769713e-02 -5.271657e-02 2.336644e-02 -6.925673e-03 - actual$covM1$Item5[4, ] -2.336364e-01 -3.923473e-01 0.155211719 0.68679028 -9.643349e-02 8.755106e-02 2.573793e-02 -1.820368e-02 + expected$covM1$Item5[4, ] -2.336367e-01 -3.923478e-01 0.155211910 0.68679121 -9.643362e-02 8.755119e-02 2.573796e-02 -1.820370e-02 - actual$covM1$Item5[5, ] -1.769715e-02 9.643348e-02 0.017697153 -0.09643349 5.698370e-02 -3.355003e-09 -4.388040e-03 6.409739e-10 + expected$covM1$Item5[5, ] -1.769711e-02 9.643355e-02 0.017697127 -0.09643362 5.698372e-02 -2.061033e-08 -4.388045e-03 4.009576e-09 - actual$covM1$Item5[6, ] -3.883474e-09 -1.036383e-08 -0.052716599 0.08755106 -3.355003e-09 3.386111e-02 5.891279e-10 -3.692073e-03 + expected$covM1$Item5[6, ] -4.501219e-08 -8.013877e-08 -0.052716573 0.08755119 -2.061033e-08 3.386113e-02 5.147130e-09 -3.692077e-03 - actual$covM1$Item5[7, ] -2.336643e-02 -2.573793e-02 0.023366430 0.02573793 -4.388040e-03 5.891278e-10 2.559135e-03 -1.139990e-10 + expected$covM1$Item5[7, ] -2.336644e-02 -2.573794e-02 0.023366437 0.02573796 -4.388045e-03 5.147130e-09 2.559136e-03 -1.007061e-09 - actual$covM1$Item5[8, ] 7.640685e-10 1.998557e-09 -0.006925668 -0.01820368 6.409739e-10 -3.692073e-03 -1.139990e-10 3.138464e-03 + expected$covM1$Item5[8, ] 8.838014e-09 1.565737e-08 -0.006925673 -0.01820370 4.009576e-09 -3.692077e-03 -1.007061e-09 3.138465e-03 ── Failure ('test-difNLR.R:185:3'): use different estimation methods on generated data ── `fit_em` (`actual`) not equal to `fit_em_gen` (`expected`). actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 1.610125566 - 1.610124894 [1] [2] 1.568423996 - 1.568423379 [2] [3] 1.671667962 - 1.671667332 [3] [4] 2.244869437 - 2.244869518 [4] [5] 0.305823154 - 0.305823133 [5] [6] 0.399595759 - 0.399595920 [6] [7] 0.327504334 - 0.327504202 [7] [8] 0.364880646 - 0.364880802 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 1.610125566 - 1.610124894 [1] [2] 1.568423996 - 1.568423379 [2] [3] 1.671667962 - 1.671667332 [3] [4] 2.244869437 - 2.244869518 [4] [5] 0.305823154 - 0.305823133 [5] [6] 0.399595759 - 0.399595920 [6] [7] 0.327504334 - 0.327504202 [7] [8] 0.364880646 - 0.364880802 [8] actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 2.592504e+00 2.415004e+00 -2.5925220 -2.4150903 1.995755e-01 -2.074435e-05 -5.123367e-01 1.942779e-05 + expected$covM1$Item5[1, ] 2.592502e+00 2.415002e+00 -2.5925198 -2.4150881 1.995753e-01 -2.071691e-05 -5.123363e-01 1.940339e-05 - actual$covM1$Item5[2, ] 2.415004e+00 2.459954e+00 -2.4150223 -2.4600413 3.087386e-01 -2.110527e-05 -5.110758e-01 1.976546e-05 + expected$covM1$Item5[2, ] 2.415002e+00 2.459952e+00 -2.4150203 -2.4600394 3.087384e-01 -2.111390e-05 -5.110754e-01 1.977495e-05 - actual$covM1$Item5[3, ] -2.592522e+00 -2.415022e+00 2.7944738 2.9446149 -1.995778e-01 1.013263e-01 5.123405e-01 -1.272636e-01 + expected$covM1$Item5[3, ] -2.592520e+00 -2.415020e+00 2.7944717 2.9446132 -1.995776e-01 1.013264e-01 5.123400e-01 -1.272636e-01 - actual$covM1$Item5[4, ] -2.415090e+00 -2.460041e+00 2.9446149 5.0394388 -3.087495e-01 6.224047e-01 5.110940e-01 -5.830962e-01 + expected$covM1$Item5[4, ] -2.415088e+00 -2.460039e+00 2.9446132 5.0394392 -3.087494e-01 6.224052e-01 5.110936e-01 -5.830967e-01 - actual$covM1$Item5[5, ] 1.995755e-01 3.087386e-01 -0.1995778 -0.3087495 9.352780e-02 -2.637529e-06 -6.037615e-02 2.469931e-06 + expected$covM1$Item5[5, ] 1.995753e-01 3.087384e-01 -0.1995776 -0.3087494 9.352779e-02 -2.655400e-06 -6.037611e-02 2.486886e-06 - actual$covM1$Item5[6, ] -2.074435e-05 -2.110527e-05 0.1013263 0.6224047 -2.637529e-06 1.596768e-01 4.386024e-06 -1.391275e-01 + expected$covM1$Item5[6, ] -2.071691e-05 -2.111390e-05 0.1013264 0.6224052 -2.655400e-06 1.596769e-01 4.386104e-06 -1.391277e-01 - actual$covM1$Item5[7, ] -5.123367e-01 -5.110758e-01 0.5123405 0.5110940 -6.037615e-02 4.386024e-06 1.072591e-01 -4.107605e-06 + expected$covM1$Item5[7, ] -5.123363e-01 -5.110754e-01 0.5123400 0.5110936 -6.037611e-02 4.386104e-06 1.072590e-01 -4.107969e-06 - actual$covM1$Item5[8, ] 1.942779e-05 1.976546e-05 -0.1272636 -0.5830962 2.469931e-06 -1.391275e-01 -4.107605e-06 1.331379e-01 + expected$covM1$Item5[8, ] 1.940339e-05 1.977495e-05 -0.1272636 -0.5830967 2.486886e-06 -1.391277e-01 -4.107969e-06 1.331380e-01 ── Failure ('test-difNLR.R:206:3'): fit 3PL model on GMAT data ───────────────── `fit1` (`actual`) not equal to `fit1_GMAT` (`expected`). `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 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$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$nlrPAR[[19]]`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [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$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020993 0.16690432 0.00000000 0.00000000 0.11558347 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$nlrSE[[19]]`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020993 0.16690432 0.11558347 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 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, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226379 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576920 0.82846621 0.07274199 0.11401508 0.20008980 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951087 0.22840263 0.16653676 0.17824104 0.18525774 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389673 - 0.317389648 [1] [2] 0.180970638 - 0.180970873 [2] [3] 0.126195460 - 0.126195564 [3] [4] 0.161661697 - 0.161661852 [4] [5] 0.088776082 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [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] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267628 -0.04957516 -0.009803316 0.005316378 -0.058633988 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575163 0.05216776 -0.013482952 -0.025705019 0.035057815 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803316 -0.01348295 0.027734493 0.018707553 -0.003097795 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316378 -0.02570502 0.018707553 0.031769868 -0.009151674 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633988 0.03505782 -0.003097795 -0.009151674 0.034320430 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736205 -0.045897306 -0.0097905715 -0.003091686 -0.0270592890 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897306 0.032750372 0.0029241566 -0.009602353 0.0127859120 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790571 0.002924157 0.0159252941 -0.003765777 0.0005707854 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091686 -0.009602353 -0.0037657767 0.026134504 0.0014824482 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059289 0.012785912 0.0005707854 0.001482448 0.0078811928 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 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, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 ── Failure ('test-difNLR.R:245:3'): coef.difNLR works on GMAT ────────────────── coef(fit1) (`actual`) not equal to `coef_fit1_GMAT` (`expected`). actual$Item1 vs expected$Item1 [,1] [,2] [,3] [,4] [,5] - actual$Item1[1, ] 1.1211115 -0.30366673 -0.06452303 0.9496955 0.11055433 + expected$Item1[1, ] 1.1211096 -0.30367079 -0.06452658 0.9496952 0.11055254 - actual$Item1[2, ] 0.8275635 -0.64093641 -0.39938649 0.7318107 -0.01922413 + expected$Item1[2, ] 0.8275618 -0.64094274 -0.39938806 0.7318103 -0.01922709 - actual$Item1[3, ] 1.4146595 0.03360294 0.27034043 1.1675803 0.24033280 + expected$Item1[3, ] 1.4146573 0.03360115 0.27033489 1.1675800 0.24033216 actual$Item2 vs expected$Item2 [,1] [,2] [,3] [,4] [,5] - actual$Item2[1, ] 0.7152887 -0.4752518 0.5270872 0.5030715 0.07629900 + expected$Item2[1, ] 0.7152842 -0.4752771 0.5270724 0.5030783 0.07629099 - actual$Item2[2, ] 0.5104054 -1.0568661 0.1738859 0.1923783 -0.08944687 + expected$Item2[2, ] 0.5104020 -1.0569059 0.1738772 0.1923828 -0.08946022 - actual$Item2[3, ] 0.9201720 0.1063626 0.8802885 0.8137647 0.24204487 + expected$Item2[3, ] 0.9201664 0.1063518 0.8802676 0.8137739 0.24204220 actual$Item3 vs expected$Item3 [,1] [,2] [,3] - actual$Item3[1, ] 0.6742923 -1.5047526 0.0000000 + expected$Item3[1, ] 0.6742919 -1.5047528 0.0000000 - actual$Item3[2, ] 0.3510788 -3.8836030 -0.8092907 + expected$Item3[2, ] 0.3510784 -3.8836065 -0.8092914 - actual$Item3[3, ] 0.9975057 0.8740977 0.8092907 + expected$Item3[3, ] 0.9975053 0.8741010 0.8092914 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$Item12 vs expected$Item12 [,1] [,2] [,3] - actual$Item12[1, ] 0.8977815 0.3821502 0.20920247 + expected$Item12[1, ] 0.8977892 0.3821652 0.20920692 - actual$Item12[2, ] 0.5562310 -0.1638465 0.04190755 + expected$Item12[2, ] 0.5562369 -0.1638188 0.04191572 - actual$Item12[3, ] 1.2393320 0.9281469 0.37649740 + expected$Item12[3, ] 1.2393415 0.9281493 0.37649812 actual$Item15 vs expected$Item15 [,1] [,2] [,3] - actual$Item15[1, ] 0.5969715 -0.1624826 0.0000000 + expected$Item15[1, ] 0.5969710 -0.1624826 0.0000000 - actual$Item15[2, ] 0.2924758 -1.7880450 -0.4508180 + expected$Item15[2, ] 0.2924753 -1.7880480 -0.4508185 - actual$Item15[3, ] 0.9014671 1.4630798 0.4508180 + expected$Item15[3, ] 0.9014667 1.4630829 0.4508185 actual$Item17 vs expected$Item17 [,1] [,2] [,3] - actual$Item17[1, ] 0.6847759 0.76018625 0.1095428 + expected$Item17[1, ] 0.6847714 0.76017007 0.1095386 - actual$Item17[2, ] 0.3576494 -0.03282382 -0.1169966 + expected$Item17[2, ] 0.3576462 -0.03285713 -0.1170052 - actual$Item17[3, ] 1.0119023 1.55319631 0.3360823 + expected$Item17[3, ] 1.0118965 1.55319727 0.3360824 actual$Item18 vs expected$Item18 [,1] [,2] [,3] - actual$Item18[1, ] 1.0130030 0.5271836 0.02923429 + expected$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.7467681 0.2319368 -0.09187737 + expected$Item18[2, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[3, ] 1.2792379 0.8224303 0.15034595 + expected$Item18[3, ] 1.2792380 0.8224303 0.15034599 actual$Item19 vs expected$Item19 [,1] [,2] [,3] [,4] [,5] - actual$Item19[1, ] 1.0724722 0.32685544 -0.28026602 -0.1179629 0.06295757 + expected$Item19[1, ] 1.0724564 0.32683925 -0.28025431 -0.1179664 0.06295113 - actual$Item19[2, ] 0.7086761 -0.06061478 -0.57594868 -0.3699005 -0.09366360 + expected$Item19[2, ] 0.7086647 -0.06064279 -0.57593174 -0.3699033 -0.09367449 - actual$Item19[3, ] 1.4362683 0.71432566 0.01541665 0.1339747 0.21957875 + expected$Item19[3, ] 1.4362481 0.71432129 0.01542311 0.1339705 0.21957674 actual$Item20 vs expected$Item20 [,1] [,2] [,3] - actual$Item20[1, ] 1.2606952 1.0741939 0.2041042 + expected$Item20[1, ] 1.2606957 1.0741941 0.2041043 - actual$Item20[2, ] 0.8841609 0.8738657 0.1346807 + expected$Item20[2, ] 0.8841613 0.8738660 0.1346808 - actual$Item20[3, ] 1.6372294 1.2745221 0.2735277 + expected$Item20[3, ] 1.6372300 1.2745222 0.2735277 ── Failure ('test-difNLR.R:251:3'): coef.difNLR works on GMAT ────────────────── coef(fit1, SE = TRUE) (`actual`) not equal to `coef_fit1_GMAT_SE` (`expected`). actual$Item1 vs expected$Item1 [,1] [,2] [,3] [,4] [,5] - actual$Item1[1, ] 1.1211115 -0.30366673 -0.06452303 0.9496955 0.11055433 + expected$Item1[1, ] 1.1211096 -0.30367079 -0.06452658 0.9496952 0.11055254 - actual$Item1[2, ] 0.1497721 0.17207953 0.17085184 0.1111678 0.06621472 + expected$Item1[2, ] 0.1497720 0.17208068 0.17085083 0.1111678 0.06621531 - actual$Item1[3, ] 0.8275635 -0.64093641 -0.39938649 0.7318107 -0.01922413 + expected$Item1[3, ] 0.8275618 -0.64094274 -0.39938806 0.7318103 -0.01922709 - actual$Item1[4, ] 1.4146595 0.03360294 0.27034043 1.1675803 0.24033280 + expected$Item1[4, ] 1.4146573 0.03360115 0.27033489 1.1675800 0.24033216 actual$Item2 vs expected$Item2 [,1] [,2] [,3] [,4] [,5] - actual$Item2[1, ] 0.7152887 -0.4752518 0.5270872 0.5030715 0.07629900 + expected$Item2[1, ] 0.7152842 -0.4752771 0.5270724 0.5030783 0.07629099 - actual$Item2[2, ] 0.1045342 0.2967475 0.1802081 0.1585198 0.08456577 + expected$Item2[2, ] 0.1045337 0.2967549 0.1802049 0.1585211 0.08456850 - actual$Item2[3, ] 0.5104054 -1.0568661 0.1738859 0.1923783 -0.08944687 + expected$Item2[3, ] 0.5104020 -1.0569059 0.1738772 0.1923828 -0.08946022 - actual$Item2[4, ] 0.9201720 0.1063626 0.8802885 0.8137647 0.24204487 + expected$Item2[4, ] 0.9201664 0.1063518 0.8802676 0.8137739 0.24204220 actual$Item3 vs expected$Item3 [,1] [,2] [,3] - actual$Item3[1, ] 0.6742923 -1.5047526 0.0000000 + expected$Item3[1, ] 0.6742919 -1.5047528 0.0000000 - actual$Item3[2, ] 0.1649078 1.2137215 0.4129110 + expected$Item3[2, ] 0.1649079 1.2137232 0.4129113 - actual$Item3[3, ] 0.3510788 -3.8836030 -0.8092907 + expected$Item3[3, ] 0.3510784 -3.8836065 -0.8092914 - actual$Item3[4, ] 0.9975057 0.8740977 0.8092907 + expected$Item3[4, ] 0.9975053 0.8741010 0.8092914 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$Item12 vs expected$Item12 [,1] [,2] [,3] - actual$Item12[1, ] 0.8977815 0.3821502 0.20920247 + expected$Item12[1, ] 0.8977892 0.3821652 0.20920692 - actual$Item12[2, ] 0.1742637 0.2785749 0.08535612 + expected$Item12[2, ] 0.1742646 0.2785684 0.08535422 - actual$Item12[3, ] 0.5562310 -0.1638465 0.04190755 + expected$Item12[3, ] 0.5562369 -0.1638188 0.04191572 - actual$Item12[4, ] 1.2393320 0.9281469 0.37649740 + expected$Item12[4, ] 1.2393415 0.9281493 0.37649812 actual$Item15 vs expected$Item15 [,1] [,2] [,3] - actual$Item15[1, ] 0.5969715 -0.1624826 0.0000000 + expected$Item15[1, ] 0.5969710 -0.1624826 0.0000000 - actual$Item15[2, ] 0.1553578 0.8293838 0.2300134 + expected$Item15[2, ] 0.1553578 0.8293854 0.2300137 - actual$Item15[3, ] 0.2924758 -1.7880450 -0.4508180 + expected$Item15[3, ] 0.2924753 -1.7880480 -0.4508185 - actual$Item15[4, ] 0.9014671 1.4630798 0.4508180 + expected$Item15[4, ] 0.9014667 1.4630829 0.4508185 actual$Item17 vs expected$Item17 [,1] [,2] [,3] - actual$Item17[1, ] 0.6847759 0.76018625 0.1095428 + expected$Item17[1, ] 0.6847714 0.76017007 0.1095386 - actual$Item17[2, ] 0.1669043 0.40460441 0.1155835 + expected$Item17[2, ] 0.1669037 0.40461315 0.1155857 - actual$Item17[3, ] 0.3576494 -0.03282382 -0.1169966 + expected$Item17[3, ] 0.3576462 -0.03285713 -0.1170052 - actual$Item17[4, ] 1.0119023 1.55319631 0.3360823 + expected$Item17[4, ] 1.0118965 1.55319727 0.3360824 actual$Item18 vs expected$Item18 [,1] [,2] [,3] - actual$Item18[1, ] 1.0130030 0.5271836 0.02923429 + expected$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$Item18[3, ] 0.7467681 0.2319368 -0.09187737 + expected$Item18[3, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[4, ] 1.2792379 0.8224303 0.15034595 + expected$Item18[4, ] 1.2792380 0.8224303 0.15034599 actual$Item19 vs expected$Item19 [,1] [,2] [,3] [,4] [,5] - actual$Item19[1, ] 1.0724722 0.32685544 -0.28026602 -0.1179629 0.06295757 + expected$Item19[1, ] 1.0724564 0.32683925 -0.28025431 -0.1179664 0.06295113 - actual$Item19[2, ] 0.1856137 0.19769252 0.15086127 0.1285420 0.07991023 + expected$Item19[2, ] 0.1856114 0.19769855 0.15085860 0.1285416 0.07991250 - actual$Item19[3, ] 0.7086761 -0.06061478 -0.57594868 -0.3699005 -0.09366360 + expected$Item19[3, ] 0.7086647 -0.06064279 -0.57593174 -0.3699033 -0.09367449 - actual$Item19[4, ] 1.4362683 0.71432566 0.01541665 0.1339747 0.21957875 + expected$Item19[4, ] 1.4362481 0.71432129 0.01542311 0.1339705 0.21957674 actual$Item20 vs expected$Item20 [,1] [,2] [,3] - actual$Item20[1, ] 1.2606952 1.0741939 0.20410418 + expected$Item20[1, ] 1.2606957 1.0741941 0.20410428 - actual$Item20[2, ] 0.1921128 0.1022101 0.03542081 + expected$Item20[2, ] 0.1921129 0.1022101 0.03542079 - actual$Item20[3, ] 0.8841609 0.8738657 0.13468067 + expected$Item20[3, ] 0.8841613 0.8738660 0.13468081 - actual$Item20[4, ] 1.6372294 1.2745221 0.27352769 + expected$Item20[4, ] 1.6372300 1.2745222 0.27352775 ── Failure ('test-difNLR.R:257:3'): coef.difNLR works on GMAT ────────────────── coef(fit1, SE = TRUE, simplify = TRUE) (`actual`) not equal to `coef_fit1_GMAT_SE_simplify` (`expected`). actual vs expected a b aDif bDif c - actual[1, ] 1.1211115 -0.30366673 -0.06452303 0.94969548 0.11055433 + expected[1, ] 1.1211096 -0.30367079 -0.06452658 0.94969519 0.11055254 - actual[2, ] 0.1497721 0.17207953 0.17085184 0.11116776 0.06621472 + expected[2, ] 0.1497720 0.17208068 0.17085083 0.11116778 0.06621531 - actual[3, ] 0.8275635 -0.64093641 -0.39938649 0.73181068 -0.01922413 + expected[3, ] 0.8275618 -0.64094274 -0.39938806 0.73181034 -0.01922709 - actual[4, ] 1.4146595 0.03360294 0.27034043 1.16758029 0.24033280 + expected[4, ] 1.4146573 0.03360115 0.27033489 1.16758004 0.24033216 - actual[5, ] 0.7152887 -0.47525176 0.52708717 0.50307153 0.07629900 + expected[5, ] 0.7152842 -0.47527705 0.52707243 0.50307832 0.07629099 - actual[6, ] 0.1045342 0.29674748 0.18020805 0.15851985 0.08456577 + expected[6, ] 0.1045337 0.29675487 0.18020494 0.15852106 0.08456850 - actual[7, ] 0.5104054 -1.05686614 0.17388588 0.19237834 -0.08944687 + expected[7, ] 0.5104020 -1.05690592 0.17387723 0.19238275 -0.08946022 - actual[8, ] 0.9201720 0.10636262 0.88028846 0.81376473 0.24204487 + expected[8, ] 0.9201664 0.10635181 0.88026764 0.81377389 0.24204220 - actual[9, ] 0.6742923 -1.50475260 0.00000000 0.00000000 0.00000000 + expected[9, ] 0.6742919 -1.50475277 0.00000000 0.00000000 0.00000000 - actual[10, ] 0.1649078 1.21372146 0.00000000 0.00000000 0.41291099 + expected[10, ] 0.1649079 1.21372318 0.00000000 0.00000000 0.41291135 and 9 more ... actual vs expected a b aDif bDif c actual[26, ] 0.1809697 0.83289393 0.12231224 0.19106221 0.27959452 actual[27, ] 0.3651398 -2.40962136 -0.30356105 -0.83511834 -0.54799520 actual[28, ] 1.0745281 0.85526284 0.17589414 -0.08616823 0.54799520 - actual[29, ] 0.8219169 -0.15381323 0.00000000 0.00000000 0.18856090 + expected[29, ] 0.8219168 -0.15381343 0.00000000 0.00000000 0.18856084 - actual[30, ] 0.1695093 0.44567177 0.00000000 0.00000000 0.13116879 + expected[30, ] 0.1695092 0.44567169 0.00000000 0.00000000 0.13116876 - actual[31, ] 0.4896848 -1.02731386 0.00000000 0.00000000 -0.06852521 + expected[31, ] 0.4896850 -1.02731389 0.00000000 0.00000000 -0.06852520 - actual[32, ] 1.1541490 0.71968739 0.00000000 0.00000000 0.44564701 + expected[32, ] 1.1541486 0.71968703 0.00000000 0.00000000 0.44564688 actual[33, ] 0.6387164 -0.38314116 0.00000000 0.00000000 0.05162489 actual[34, ] 0.1603240 0.81712635 0.00000000 0.00000000 0.22952065 actual[35, ] 0.3244872 -1.98467937 0.00000000 0.00000000 -0.39822733 actual vs expected a b aDif bDif c actual[42, ] 0.1474411 0.51559730 0.00000000 0.00000000 0.20333876 actual[43, ] 0.5740457 -1.96072858 0.00000000 0.00000000 -0.38554991 actual[44, ] 1.1520042 0.06037568 0.00000000 0.00000000 0.41152338 - actual[45, ] 0.8977815 0.38215019 0.00000000 0.00000000 0.20920247 + expected[45, ] 0.8977892 0.38216524 0.00000000 0.00000000 0.20920692 - actual[46, ] 0.1742637 0.27857489 0.00000000 0.00000000 0.08535612 + expected[46, ] 0.1742646 0.27856840 0.00000000 0.00000000 0.08535422 - actual[47, ] 0.5562310 -0.16384655 0.00000000 0.00000000 0.04190755 + expected[47, ] 0.5562369 -0.16381880 0.00000000 0.00000000 0.04191572 - actual[48, ] 1.2393320 0.92814694 0.00000000 0.00000000 0.37649740 + expected[48, ] 1.2393415 0.92814928 0.00000000 0.00000000 0.37649812 actual[49, ] 0.8157721 -0.77457288 0.00000000 0.00000000 0.29437966 actual[50, ] 0.1918456 0.69590763 0.00000000 0.00000000 0.18393642 actual[51, ] 0.4397616 -2.13852678 0.00000000 0.00000000 -0.06612910 actual vs expected a b aDif bDif c actual[54, ] 0.1468574 0.22426067 0.00000000 0.00000000 0.07984885 actual[55, ] 0.5921011 0.09897528 0.00000000 0.00000000 -0.08451342 actual[56, ] 1.1677714 0.97806096 0.00000000 0.00000000 0.22848830 - actual[57, ] 0.5969715 -0.16248257 0.00000000 0.00000000 0.00000000 + expected[57, ] 0.5969710 -0.16248256 0.00000000 0.00000000 0.00000000 - actual[58, ] 0.1553578 0.82938381 0.00000000 0.00000000 0.23001339 + expected[58, ] 0.1553578 0.82938536 0.00000000 0.00000000 0.23001366 - actual[59, ] 0.2924758 -1.78804497 0.00000000 0.00000000 -0.45081796 + expected[59, ] 0.2924753 -1.78804800 0.00000000 0.00000000 -0.45081850 - actual[60, ] 0.9014671 1.46307983 0.00000000 0.00000000 0.45081796 + expected[60, ] 0.9014667 1.46308288 0.00000000 0.00000000 0.45081850 actual[61, ] 1.0814052 0.46620935 0.00000000 0.00000000 0.07682816 actual[62, ] 0.1451789 0.14367819 0.00000000 0.00000000 0.05844552 actual[63, ] 0.7968598 0.18460528 0.00000000 0.00000000 -0.03772296 and 17 more ... actual$a | expected$a [1] 1.121111531 - 1.121109559 [1] [2] 0.149772135 - 0.149772005 [2] [3] 0.827563540 - 0.827561822 [3] [4] 1.414659522 - 1.414657295 [4] [5] 0.715288666 - 0.715284188 [5] [6] 0.104534211 - 0.104533661 [6] [7] 0.510405377 - 0.510401978 [7] [8] 0.920171955 - 0.920166398 [8] [9] 0.674292260 - 0.674291851 [9] [10] 0.164907840 - 0.164907873 [10] ... ... ... and 9 more ... 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 [42] 0.147441088 | 0.147441088 [42] [43] 0.574045716 | 0.574045716 [43] [44] 1.152004161 | 1.152004161 [44] [45] 0.897781523 - 0.897789207 [45] [46] 0.174263656 - 0.174264595 [46] [47] 0.556231033 - 0.556236876 [47] [48] 1.239332013 - 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 [54] 0.146857350 | 0.146857350 [54] [55] 0.592101119 | 0.592101119 [55] [56] 1.167771354 | 1.167771354 [56] [57] 0.596971484 - 0.596971007 [57] [58] 0.155357775 - 0.155357800 [58] [59] 0.292475840 - 0.292475314 [59] [60] 0.901467127 - 0.901466700 [60] [61] 1.081405240 | 1.081405240 [61] [62] 0.145178903 | 0.145178903 [62] [63] 0.796859818 | 0.796859818 [63] ... ... ... and 17 more ... actual$b | expected$b [1] -0.303666734 - -0.303670794 [1] [2] 0.172079525 - 0.172080683 [2] [3] -0.640936407 - -0.640942736 [3] [4] 0.033602938 - 0.033601147 [4] [5] -0.475251764 - -0.475277052 [5] [6] 0.296747484 - 0.296754874 [6] [7] -1.056866145 - -1.056905917 [7] [8] 0.106362617 - 0.106351814 [8] [9] -1.504752602 - -1.504752772 [9] [10] 1.213721460 - 1.213723182 [10] ... ... ... and 9 more ... 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 [42] 0.515597298 | 0.515597298 [42] [43] -1.960728585 | -1.960728585 [43] [44] 0.060375684 | 0.060375684 [44] [45] 0.382150194 - 0.382165243 [45] [46] 0.278574885 - 0.278568404 [46] [47] -0.163846548 - -0.163818797 [47] [48] 0.928146936 - 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 [54] 0.224260672 | 0.224260672 [54] [55] 0.098975280 | 0.098975280 [55] [56] 0.978060960 | 0.978060960 [56] [57] -0.162482568 - -0.162482560 [57] [58] 0.829383811 - 0.829385363 [58] [59] -1.788044967 - -1.788048001 [59] [60] 1.463079831 - 1.463082881 [60] [61] 0.466209347 | 0.466209347 [61] [62] 0.143678186 | 0.143678186 [62] [63] 0.184605276 | 0.184605276 [63] ... ... ... and 17 more ... actual$aDif | expected$aDif [1] -0.0645230 - -0.0645266 [1] [2] 0.1708518 - 0.1708508 [2] [3] -0.3993865 - -0.3993881 [3] [4] 0.2703404 - 0.2703349 [4] [5] 0.5270872 - 0.5270724 [5] [6] 0.1802081 - 0.1802049 [6] [7] 0.1738859 - 0.1738772 [7] [8] 0.8802885 - 0.8802676 [8] [9] 0.0000000 | 0.0000000 [9] [10] 0.0000000 | 0.0000000 [10] ... ... ... and 1 more ... actual$aDif | expected$aDif [70] 0.0000000 | 0.0000000 [70] [71] 0.0000000 | 0.0000000 [71] [72] 0.0000000 | 0.0000000 [72] [73] -0.2802660 - -0.2802543 [73] [74] 0.1508613 - 0.1508586 [74] [75] -0.5759487 - -0.5759317 [75] [76] 0.0154166 - 0.0154231 [76] [77] 0.0000000 | 0.0000000 [77] [78] 0.0000000 | 0.0000000 [78] [79] 0.0000000 | 0.0000000 [79] actual$bDif | expected$bDif [1] 0.949695484 - 0.949695187 [1] [2] 0.111167761 - 0.111167782 [2] [3] 0.731810676 - 0.731810338 [3] [4] 1.167580291 - 1.167580036 [4] [5] 0.503071532 - 0.503078321 [5] [6] 0.158519849 - 0.158521059 [6] [7] 0.192378336 - 0.192382754 [7] [8] 0.813764727 - 0.813773887 [8] [9] 0.000000000 | 0.000000000 [9] [10] 0.000000000 | 0.000000000 [10] ... ... ... and 1 more ... actual$bDif | expected$bDif [70] 0.000000000 | 0.000000000 [70] [71] 0.000000000 | 0.000000000 [71] [72] 0.000000000 | 0.000000000 [72] [73] -0.117962872 - -0.117966417 [73] [74] 0.128541963 - 0.128541597 [74] [75] -0.369900490 - -0.369903317 [75] [76] 0.133974747 - 0.133970483 [76] [77] 0.000000000 | 0.000000000 [77] [78] 0.000000000 | 0.000000000 [78] [79] 0.000000000 | 0.000000000 [79] actual$c | expected$c [1] 0.110554332 - 0.110552536 [1] [2] 0.066214719 - 0.066215310 [2] [3] -0.019224132 - -0.019227087 [3] [4] 0.240332795 - 0.240332159 [4] [5] 0.076299000 - 0.076290990 [5] [6] 0.084565772 - 0.084568498 [6] [7] -0.089446867 - -0.089460221 [7] [8] 0.242044867 - 0.242042201 [8] [9] 0.000000000 | 0.000000000 [9] [10] 0.412910989 - 0.412911348 [10] ... ... ... and 9 more ... 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 [42] 0.203338760 | 0.203338760 [42] [43] -0.385549911 | -0.385549911 [43] [44] 0.411523383 | 0.411523383 [44] [45] 0.209202473 - 0.209206920 [45] [46] 0.085356121 - 0.085354220 [46] [47] 0.041907550 - 0.041915723 [47] [48] 0.376497397 - 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 [55] -0.084513421 | -0.084513421 [55] [56] 0.228488303 | 0.228488303 [56] [57] 0.000000000 | 0.000000000 [57] [58] 0.230013390 - 0.230013664 [58] [59] -0.450817961 - -0.450818497 [59] [60] 0.450817961 - 0.450818497 [60] [61] 0.076828160 | 0.076828160 [61] [62] 0.058445522 | 0.058445522 [62] [63] -0.037722959 | -0.037722959 [63] [64] 0.191379279 | 0.191379279 [64] ... ... ... and 16 more ... ── Failure ('test-difNLR.R:263:3'): coef.difNLR works on GMAT ────────────────── coef(fit1, IRTpars = FALSE) (`actual`) not equal to `coef_fit1_GMAT_is` (`expected`). actual$Item1 vs expected$Item1 [,1] [,2] [,3] [,4] [,5] - actual$Item1[1, ] 0.34044428 1.1211115 -1.0230308 -0.06452303 0.11055433 + expected$Item1[1, ] 0.34044823 1.1211096 -1.0230266 -0.06452658 0.11055254 - actual$Item1[2, ] 0.01389095 0.8275635 -1.3560017 -0.39938649 -0.01922413 + expected$Item1[2, ] 0.01389391 0.8275618 -1.3559961 -0.39938806 -0.01922709 - actual$Item1[3, ] 0.66699760 1.4146595 -0.6900599 0.27034043 0.24033280 + expected$Item1[3, ] 0.66700255 1.4146573 -0.6900571 0.27033489 0.24033216 actual$Item2 vs expected$Item2 [,1] [,2] [,3] [,4] [,5] - actual$Item2[1, ] 0.33994220 0.7152887 -0.3745048 0.5270872 0.07629900 + expected$Item2[1, ] 0.33995816 0.7152842 -0.3744973 0.5270724 0.07629099 - actual$Item2[2, ] -0.01989449 0.5104054 -0.6101771 0.1738859 -0.08944687 + expected$Item2[2, ] -0.01988285 0.5104020 -0.6101666 0.1738772 -0.08946022 - actual$Item2[3, ] 0.69977889 0.9201720 -0.1388326 0.8802885 0.24204487 + expected$Item2[3, ] 0.69979917 0.9201664 -0.1388279 0.8802676 0.24204220 actual$Item3 vs expected$Item3 [,1] [,2] [,3] - actual$Item3[1, ] 1.0146430 0.6742923 0.0000000 + expected$Item3[1, ] 1.0146425 0.6742919 0.0000000 - actual$Item3[2, ] -0.1322598 0.3510788 -0.8092907 + expected$Item3[2, ] -0.1322614 0.3510784 -0.8092914 - actual$Item3[3, ] 2.1615459 0.9975057 0.8092907 + expected$Item3[3, ] 2.1615465 0.9975053 0.8092914 actual$Item8 vs expected$Item8 [,1] [,2] [,3] - actual$Item8[1, ] 0.1264217 0.8219169 0.18856090 + expected$Item8[1, ] 0.1264218 0.8219168 0.18856084 - actual$Item8[2, ] -0.5459248 0.4896848 -0.06852521 + expected$Item8[2, ] -0.5459244 0.4896850 -0.06852520 - actual$Item8[3, ] 0.7987682 1.1541490 0.44564701 + expected$Item8[3, ] 0.7987681 1.1541486 0.44564688 actual$Item12 vs expected$Item12 [,1] [,2] [,3] - actual$Item12[1, ] -0.3430874 0.8977815 0.20920247 + expected$Item12[1, ] -0.3431038 0.8977892 0.20920692 - actual$Item12[2, ] -0.9447821 0.5562310 0.04190755 + expected$Item12[2, ] -0.9447960 0.5562369 0.04191572 - actual$Item12[3, ] 0.2586073 1.2393320 0.37649740 + expected$Item12[3, ] 0.2585883 1.2393415 0.37649812 actual$Item15 vs expected$Item15 [,1] [,2] [,3] - actual$Item15[1, ] 0.09699746 0.5969715 0.0000000 + expected$Item15[1, ] 0.09699738 0.5969710 0.0000000 - actual$Item15[2, ] -0.82704423 0.2924758 -0.4508180 + expected$Item15[2, ] -0.82704535 0.2924753 -0.4508185 - actual$Item15[3, ] 1.02103915 0.9014671 0.4508180 + expected$Item15[3, ] 1.02104010 0.9014667 0.4508185 actual$Item17 vs expected$Item17 [,1] [,2] [,3] - actual$Item17[1, ] -0.5205572 0.6847759 0.1095428 + expected$Item17[1, ] -0.5205427 0.6847714 0.1095386 - actual$Item17[2, ] -1.2853546 0.3576494 -0.1169966 + expected$Item17[2, ] -1.2853432 0.3576462 -0.1170052 - actual$Item17[3, ] 0.2442402 1.0119023 0.3360823 + expected$Item17[3, ] 0.2442578 1.0118965 0.3360824 actual$Item18 vs expected$Item18 [,1] [,2] [,3] - actual$Item18[1, ] -0.5340385 1.0130030 0.02923429 + expected$Item18[1, ] -0.5340385 1.0130030 0.02923430 - actual$Item18[2, ] -0.9477038 0.7467681 -0.09187737 + expected$Item18[2, ] -0.9477039 0.7467680 -0.09187740 - actual$Item18[3, ] -0.1203733 1.2792379 0.15034595 + expected$Item18[3, ] -0.1203732 1.2792380 0.15034599 actual$Item19 vs expected$Item19 [,1] [,2] [,3] [,4] [,5] - actual$Item19[1, ] -0.3505434 1.0724722 0.18505739 -0.28026602 0.06295757 + expected$Item19[1, ] -0.3505208 1.0724564 0.18505135 -0.28025431 0.06295113 - actual$Item19[2, ] -0.8575223 0.7086761 -0.03550695 -0.57594868 -0.09366360 + expected$Item19[2, ] -0.8575012 0.7086647 -0.03550969 -0.57593174 -0.09367449 - actual$Item19[3, ] 0.1564356 1.4362683 0.40562173 0.01541665 0.21957875 + expected$Item19[3, ] 0.1564595 1.4362481 0.40561239 0.01542311 0.21957674 actual$Item20 vs expected$Item20 [,1] [,2] [,3] - actual$Item20[1, ] -1.3542310 1.2606952 0.2041042 + expected$Item20[1, ] -1.3542319 1.2606957 0.2041043 - actual$Item20[2, ] -1.8892050 0.8841609 0.1346807 + expected$Item20[2, ] -1.8892059 0.8841613 0.1346808 - actual$Item20[3, ] -0.8192571 1.6372294 0.2735277 + expected$Item20[3, ] -0.8192579 1.6372300 0.2735277 ── Failure ('test-difNLR.R:269:3'): coef.difNLR works on GMAT ────────────────── coef(fit1, IRTpars = FALSE, simplify = TRUE, CI = 0) (`actual`) not equal to `coef_fit1_GMAT_is_simplify_noCI` (`expected`). actual vs expected b0 b1 b2 b3 c - actual[1, ] 0.34044428 1.1211115 -1.0230308 -0.06452303 0.11055433 + expected[1, ] 0.34044823 1.1211096 -1.0230266 -0.06452658 0.11055254 - actual[2, ] 0.33994220 0.7152887 -0.3745048 0.52708717 0.07629900 + expected[2, ] 0.33995816 0.7152842 -0.3744973 0.52707243 0.07629099 - actual[3, ] 1.01464303 0.6742923 0.0000000 0.00000000 0.00000000 + expected[3, ] 1.01464253 0.6742919 0.0000000 0.00000000 0.00000000 - actual[4, ] 1.38383158 0.6320472 0.0000000 0.00000000 0.00000000 + expected[4, ] 1.38383159 0.6320472 0.0000000 0.00000000 0.00000000 actual[5, ] 1.15325784 1.0733976 0.0000000 0.00000000 0.33274187 actual[6, ] 0.55144396 0.9133613 0.0000000 0.00000000 0.06152602 actual[7, ] 0.55943999 0.7198339 0.2525722 -0.06383345 0.00000000 - actual[8, ] 0.12642169 0.8219169 0.0000000 0.00000000 0.18856090 + expected[8, ] 0.12642184 0.8219168 0.0000000 0.00000000 0.18856084 actual[9, ] 0.24471854 0.6387164 0.0000000 0.00000000 0.05162489 actual[10, ] 0.17418526 0.6601687 0.0000000 0.00000000 0.07715172 and 10 more ... actual$b0 | expected$b0 [1] 0.340444277 - 0.340448230 [1] [2] 0.339942200 - 0.339958160 [2] [3] 1.014643033 - 1.014642531 [3] [4] 1.383831580 - 1.383831586 [4] [5] 1.153257841 | 1.153257841 [5] [6] 0.551443957 | 0.551443957 [6] [7] 0.559439995 | 0.559439995 [7] [8] 0.126421690 - 0.126421840 [8] [9] 0.244718536 | 0.244718536 [9] [10] 0.174185255 | 0.174185255 [10] ... ... ... and 10 more ... actual$b1 | expected$b1 [1] 1.121111531 - 1.121109559 [1] [2] 0.715288666 - 0.715284188 [2] [3] 0.674292260 - 0.674291851 [3] [4] 0.632047168 - 0.632047170 [4] [5] 1.073397630 | 1.073397630 [5] [6] 0.913361261 | 0.913361261 [6] [7] 0.719833923 | 0.719833923 [7] [8] 0.821916864 - 0.821916793 [8] [9] 0.638716386 | 0.638716386 [9] [10] 0.660168739 | 0.660168739 [10] ... ... ... and 10 more ... `actual$b2[1:5]`: -1.0230308 -0.3745048 0.0000000 0.0000000 0.0000000 `expected$b2[1:5]`: -1.0230266 -0.3744973 0.0000000 0.0000000 0.0000000 `actual$b2[16:20]`: 0.0000000 0.0000000 0.0000000 0.1850574 0.0000000 `expected$b2[16:20]`: 0.0000000 0.0000000 0.0000000 0.1850513 0.0000000 `actual$b3[1:5]`: -0.0645230 0.5270872 0.0000000 0.0000000 0.0000000 `expected$b3[1:5]`: -0.0645266 0.5270724 0.0000000 0.0000000 0.0000000 `actual$b3[16:20]`: 0.0000000 0.0000000 0.0000000 -0.2802660 0.0000000 `expected$b3[16:20]`: 0.0000000 0.0000000 0.0000000 -0.2802543 0.0000000 actual$c | expected$c [1] 0.110554332 - 0.110552536 [1] [2] 0.076299000 - 0.076290990 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.332741873 | 0.332741873 [5] [6] 0.061526018 | 0.061526018 [6] [7] 0.000000000 | 0.000000000 [7] [8] 0.188560897 - 0.188560839 [8] [9] 0.051624886 | 0.051624886 [9] [10] 0.077151719 | 0.077151719 [10] ... ... ... and 10 more ... ── Failure ('test-difNLR.R:275:3'): coef.difNLR works on GMAT ────────────────── coef(...) (`actual`) not equal to `coef_fit1_GMAT_DIF_is_simplify_noCI` (`expected`). actual vs expected b0 b1 b2 b3 c - actual[1, ] 0.3404443 1.1211115 -1.0230308 -0.06452303 0.11055433 + expected[1, ] 0.3404482 1.1211096 -1.0230266 -0.06452658 0.11055254 - actual[2, ] 0.3399422 0.7152887 -0.3745048 0.52708717 0.07629900 + expected[2, ] 0.3399582 0.7152842 -0.3744973 0.52707243 0.07629099 actual[3, ] 0.5594400 0.7198339 0.2525722 -0.06383345 0.00000000 - actual[4, ] -0.3505434 1.0724722 0.1850574 -0.28026602 0.06295757 + expected[4, ] -0.3505208 1.0724564 0.1850513 -0.28025431 0.06295113 `actual$b0`: 0.3404443 0.3399422 0.5594400 -0.3505434 `expected$b0`: 0.3404482 0.3399582 0.5594400 -0.3505208 `actual$b1`: 1.1211115 0.7152887 0.7198339 1.0724722 `expected$b1`: 1.1211096 0.7152842 0.7198339 1.0724564 `actual$b2`: -1.0230308 -0.3745048 0.2525722 0.1850574 `expected$b2`: -1.0230266 -0.3744973 0.2525722 0.1850513 `actual$b3`: -0.0645230 0.5270872 -0.0638335 -0.2802660 `expected$b3`: -0.0645266 0.5270724 -0.0638335 -0.2802543 `actual$c`: 0.1105543 0.0762990 0.0000000 0.0629576 `expected$c`: 0.1105525 0.0762910 0.0000000 0.0629511 [ FAIL 14 | WARN 0 | SKIP 0 | PASS 33 ] Error: Test failures Execution halted * checking PDF version of manual ... [3s/3s] OK * checking HTML version of manual ... [2s/1s] OK * checking for non-standard things in the check directory ... OK * checking for detritus in the temp directory ... OK * DONE Status: 1 ERROR, 1 NOTE