* using log directory 'd:/Rcompile/CRANpkg/local/4.4/EMC2.Rcheck' * using R version 4.4.3 (2025-02-28 ucrt) * using platform: x86_64-w64-mingw32 * R was compiled by gcc.exe (GCC) 13.3.0 GNU Fortran (GCC) 13.3.0 * running under: Windows Server 2022 x64 (build 20348) * using session charset: UTF-8 * checking for file 'EMC2/DESCRIPTION' ... OK * this is package 'EMC2' version '3.3.0' * package encoding: UTF-8 * 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 hidden files and directories ... OK * checking for portable file names ... OK * checking whether package 'EMC2' can be installed ... OK * used C++ compiler: 'g++.exe (GCC) 13.3.0' * checking installed package size ... NOTE installed size is 9.9Mb sub-directories of 1Mb or more: R 1.0Mb doc 6.7Mb libs 1.4Mb * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * 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 ... [3s] OK * checking whether the package can be loaded with stated dependencies ... [4s] OK * checking whether the package can be unloaded cleanly ... [3s] OK * checking whether the namespace can be loaded with stated dependencies ... [3s] OK * checking whether the namespace can be unloaded cleanly ... [3s] OK * checking loading without being on the library search path ... [3s] 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 ... [69s] OK * checking Rd files ... [3s] OK * checking Rd metadata ... 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 ... [3s] OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking pragmas in C/C++ headers and code ... OK * checking compiled code ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ... [44s] OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... [171s] ERROR Running 'testthat.R' [171s] Running the tests in 'tests/testthat.R' failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(EMC2) Attaching package: 'EMC2' The following object is masked from 'package:testthat': compare > > test_check("EMC2") Starting 2 test processes. > test-RACE.R: > test-RACE.R: Sampled Parameters: > test-RACE.R: Parameter(s) sv not specified in formula and assumed constant. > test-RACE.R: [1] "v" "v_lMTRUE" "v_RACE3:lMTRUE" "B" > test-RACE.R: [5] "t0" "A" > test-RACE.R: > test-RACE.R: Design Matrices: > test-RACE.R: $v > test-RACE.R: RACE lM v v_RACE3 v_lMTRUE v_RACE3:lMTRUE > test-RACE.R: 2 TRUE 1 0 1 0 > test-RACE.R: 2 FALSE 1 0 0 0 > test-RACE.R: 3 TRUE 1 1 1 1 > test-RACE.R: 3 FALSE 1 1 0 0 > test-RACE.R: > test-RACE.R: $B > test-RACE.R: B > test-RACE.R: 1 > test-RACE.R: > test-RACE.R: $t0 > test-RACE.R: t0 > test-RACE.R: 1 > test-RACE.R: > test-RACE.R: $A > test-RACE.R: A > test-RACE.R: 1 > test-RACE.R: > test-RACE.R: $sv > test-RACE.R: sv > test-RACE.R: 1 > test-RACE.R: > test-RACE.R: Processing data set 1 > test-S3.R: $mu > test-S3.R: [[1]] > test-S3.R: Markov Chain Monte Carlo (MCMC) output: > test-S3.R: Start = 1 > test-S3.R: End = 100 > test-S3.R: Thinning interval = 1 > test-S3.R: m m_lMd s t0 > test-S3.R: [1,] -0.968592727 0.70610908 1.48902132 -1.815093e+00 > test-S3.R: [2,] 0.330409582 -1.14215571 0.15719342 -2.065407e+00 > test-S3.R: [3,] -0.440546876 0.00395328 -0.53711605 -1.260453e-02 > test-S3.R: [4,] 0.176254372 -1.58368027 0.46779179 1.194612e+00 > test-S3.R: [5,] 0.774581932 0.08710445 0.46911077 1.219979e+00 > test-S3.R: > test-S3.R: [6,] -0.266032837 0.32072041 -0.74705372 -2.179812e-01 > test-S3.R: [7,] -0.513716909 0.60181312 -1.54982186 -1.709623e+00 > test-S3.R: [8,] 0.770148803 -0.71687304 -0.11175643 1.773910e+00 > test-S3.R: [9,] 0.387577754 1.01403374 1.57900674 6.687560e-01 > test-S3.R: [10,] -0.353522093 -1.40586827 -2.45822710 2.889569e+00 > test-S3.R: [11,] 0.703196044 1.71798542 -0.32774780 3.962836e-01 > test-S3.R: [12,] -0.534896637 0.01330582 -0.63898639 2.248300e+00 > test-S3.R: [13,] 0.066327879 0.03159166 -0.53502512 -1.461494e+00 > test-S3.R: [14,] 0.349417262 1.04562868 -0.62713712 3.957078e-01 > test-S3.R: [15,] -1.207511380 0.94576382 -0.64429665 -2.721696e-01 > test-S3.R: [16,] 1.231105744 -1.36068444 -0.32084954 -1.123578e+00 > test-S3.R: [17,] 1.052020871 -1.03625580 1.11444683 -5.304566e-01 > test-S3.R: [18,] 0.001133325 -1.23162378 -0.43601513 -1.234657e+00 > test-S3.R: [19,] 0.042218357 -0.79198362 -0.38886174 -7.422707e-01 > test-S3.R: [20,] 0.773229658 0.68250298 -0.21793606 -6.387820e-01 > test-S3.R: [21,] -1.657044957 -1.56740996 -0.61225871 -2.979777e-01 > test-S3.R: [22,] 0.340636795 0.13373072 0.86266186 5.063779e-02 > test-S3.R: [23,] 1.224585329 0.01722424 1.51042853 8.486843e-03 > test-S3.R: [24,] 0.773146260 -1.15192075 0.86257747 5.663740e-01 > test-S3.R: [25,] -0.653870279 0.07556059 0.55786821 -1.098787e+00 > test-S3.R: [26,] -0.368760541 0.99581665 -0.26119001 -1.431145e-01 > test-S3.R: [27,] -0.189693629 0.97303465 -1.19348130 4.875333e-01 > test-S3.R: [28,] -0.523998689 0.33147211 1.83265979 1.216679e-01 > test-S3.R: [29,] 0.597641486 0.66557010 -0.79195959 1.072041e+00 > test-S3.R: [30,] -1.197900876 1.04703094 -0.93882927 -9.865591e-01 > test-S3.R: [31,] 0.818425899 -0.78227440 -0.55590562 -8.314149e-01 > test-S3.R: [32,] -1.921913718 -1.47904114 0.89980602 9.779241e-02 > test-S3.R: [33,] 2.275708853 1.42101925 0.43824509 4.776370e-01 > test-S3.R: [34,] -1.126597232 0.83146728 -0.75527686 -8.734871e-01 > test-S3.R: [35,] -0.807569379 -0.32300350 -0.24885632 -5.192609e-02 > test-S3.R: [36,] -1.188515820 -0.38882965 -0.60951022 -9.534976e-02 > test-S3.R: [37,] -0.543284983 -2.15286166 -1.12658056 6.754646e-01 > test-S3.R: [38,] -0.080257895 0.82278301 0.66354923 4.733964e-01 > test-S3.R: [39,] 0.774460253 -1.24504637 0.16683642 3.901691e-01 > test-S3.R: [40,] -0.326405019 0.74491004 1.08402787 -1.914388e+00 > test-S3.R: [41,] -0.146452542 -1.34086891 -1.33634842 1.686418e+00 > test-S3.R: [42,] -1.196146573 0.80731089 -0.26717062 -1.660721e-01 > test-S3.R: [43,] 0.412833986 1.32332728 -0.80994619 -9.008542e-01 > test-S3.R: [44,] -0.019176468 1.25635631 -0.82391396 3.526393e-01 > test-S3.R: [45,] 1.498411638 0.64189970 -1.83452881 5.068369e-01 > test-S3.R: [46,] > test-S3.R: 0.675126726 -0.93638351 0.36913678 -1.357119e+00 > test-S3.R: [47,] -0.690117921 0.02412719 -2.74441709 5.476119e-01 > test-S3.R: [48,] 1.976906554 -2.00110879 1.21535398 -2.860677e-01 > test-S3.R: [49,] 1.438922589 0.98768539 0.58379290 -3.490940e-01 > test-S3.R: [50,] -0.195509235 -1.75902660 0.15847842 1.038808e+00 > test-S3.R: [51,] -0.038998900 -0.81877954 0.14033679 -1.676713e-02 > test-S3.R: [52,] -1.252263265 0.50048497 -0.69296494 -2.872816e-01 > test-S3.R: [53,] -0.564967548 0.53795294 0.69637557 -5.049433e-01 > test-S3.R: [54,] -0.578767493 -0.95096264 -0.43924093 -1.088629e-01 > test-S3.R: [55,] -0.002303808 0.49843530 -0.11240597 1.438444e+00 > test-S3.R: [56,] 1.768809256 -1.39057114 1.48422016 -1.226295e+00 > test-S3.R: [57,] -0.312570061 -0.99097170 0.63279683 -3.316753e-02 > test-S3.R: [58,] -0.370138961 -0.07756118 -0.62355218 1.099932e+00 > test-S3.R: [59,] 0.210547221 -2.12809772 -0.48691981 -9.021004e-01 > test-S3.R: [60,] 0.256716092 -1.56090286 -1.63296389 -5.540344e-02 > test-S3.R: [61,] 1.278587011 2.24313992 -0.42248920 -1.839826e-01 > test-S3.R: [62,] 0.653625003 -0.97501266 -1.32279040 -4.118425e-01 > test-S3.R: [63,] -0.007053183 -1.77579827 1.05050420 1.099937e+00 > test-S3.R: [64,] -0.099879299 -0.31849505 0.88032845 -1.851416e+00 > test-S3.R: [65,] 2.603426404 0.49241367 -1.11069858 -1.591152e+00 > test-S3.R: [66,] 0.288282884 -1.29265064 1.12497092 -1.350019e+00 > test-S3.R: [67,] 0.357424184 -0.74001829 -0.05758032 -6.403703e-01 > test-S3.R: [68,] 0.233816429 1.58140838 1.25480253 -3.882850e-01 > test-S3.R: [69,] 0.786161857 0.84899942 -0.43638730 -2.216548e+00 > test-S3.R: [70,] 0.758945951 0.07115880 0.52445589 1.879418e+00 > test-S3.R: [71,] -1.884850680 -0.09048876 0.74140451 5.237673e-05 > test-S3.R: [72,] 0.091506513 -0.08086144 0.14324355 4.590737e-01 > test-S3.R: [73,] 0.824585815 0.34745757 -0.13708571 -1.115028e+00 > test-S3.R: [74,] -0.326043129 -1.57470065 3.58761593 -1.404553e+00 > test-S3.R: [75,] 0.217200562 -0.73381627 -1.12611214 3.480434e-01 > test-S3.R: [76,] 1.220393675 0.20366038 -0.73413005 1.258978e+00 > test-S3.R: [77,] 1.395386551 -1.42006271 -0.03761093 9.759589e-01 > test-S3.R: [78,] 1.435426937 -1.46356735 1.70331504 1.189071e+00 > test-S3.R: [79,] 0.779819602 0.27431817 1.04000170 2.468911e-01 > test-S3.R: [80,] -1.342718870 1.04253785 1.22269539 -8.167363e-01 > test-S3.R: [81,] -0.333632170 -0.36439907 -0.58862694 -1.224104e+00 > test-S3.R: [82,] 0.297119922 0.31744525 -1.10791785 -9.737753e-01 > test-S3.R: [83,] 0.540274410 -0.77548270 -0.61472076 -1.245259e+00 > test-S3.R: [84,] -0.199810200 0.63858024 -0.46419191 -5.254983e-01 > test-S3.R: [85,] 0.748779265 1.15794739 -0.91573046 -1.519091e+00 > test-S3.R: [86,] 1.812921535 0.47895623 0.65424428 -1.151191e+00 > test-S3.R: [87,] 0.477210291 -1.38194917 -0.13355458 1.738608e+00 > test-S3.R: [88,] -0.242540985 0.57483053 -1.92145375 -2.069181e-01 > test-S3.R: [89,] -1.364745265 0.93833326 0.25550202 -9.576225e-02 > test-S3.R: [90,] -0.639107066 1.07775522 0.75747007 -6.576548e-01 > test-S3.R: [91,] -0.478204359 -0.07449739 0.67450887 1.198167e+00 > test-S3.R: [92,] 0.788140540 0.92672299 0.78176437 -3.074512e-01 > test-S3.R: [93,] -0.515499120 0.20554194 -0.26207926 -9.264494e-01 > test-S3.R: [94,] 0.292469743 0.34340249 1.00194966 1.552762e+00 > test-S3.R: [95,] 0.786434212 0.66027196 1.06427605 > test-S3.R: -1.694109e+00 > test-S3.R: [96,] 1.350303083 0.04446783 -0.34847366 -1.047473e-01 > test-S3.R: [97,] 0.030174363 -1.12671584 0.85903509 -2.563336e-02 > test-S3.R: [98,] -0.429455072 3.03505928 0.24778380 1.432415e+00 > test-S3.R: [99,] 0.049101629 0.97825661 -0.02333910 9.452669e-01 > test-S3.R: [100,] -0.900430657 -0.06809705 -1.22461860 -1.879656e+00 > test-S3.R: > test-S3.R: attr(,"class") > test-S3.R: [1] "mcmc.list" > test-S3.R: > test-customLL.R: Processing data set 1 > test-fMRI.R: event_type subjects run onset modulation duration regressor > test-fMRI.R: 1 condition_A 1 1 0 -1 0.5000000 cond1 > test-fMRI.R: 11 accuracy 1 1 0 1 0.2000000 accuracy > test-fMRI.R: 21 rt 1 1 0 1 0.6663742 rt > test-fMRI.R: 2 condition_B 1 1 10 1 0.5000000 cond1 > test-fMRI.R: 22 rt 1 1 10 1 0.8898457 rt > test-fMRI.R: 13 accuracy 1 1 20 0 0.2000000 accuracy > test-fMRI.R: 23 rt 1 1 20 1 1.2599398 rt > test-fMRI.R: Filtering out high_pass noise, make sure you also use high_pass_filter() > test-fMRI.R: Make sure you also high_pass_filter your events (set high_pass = TRUE in convolve_design_matrix) > test-fMRI.R: $alpha > test-fMRI.R: [[1]] > test-fMRI.R: Markov Chain Monte Carlo (MCMC) output: > test-fMRI.R: Start = 1 > test-fMRI.R: End = 100 > test-fMRI.R: Thinning interval = 1 > test-fMRI.R: accuracy cond1 rt constant rho > test-fMRI.R: [1,] 1.832659789 0.121667950 0.597641486 0.66557010 0.2141921184 > test-fMRI.R: [2,] -1.197900876 1.047030942 -0.938829266 -0.98655907 > test-fMRI.R: 0.7934429808 > test-fMRI.R: [3,] -0.555905618 -0.831414909 -1.921913718 -1.47904114 0.8158882548 > test-fMRI.R: [4,] 2.275708853 1.421019249 0.438245090 0.47763697 0.1299564050 > test-fMRI.R: [5,] -0.755276859 -0.873487111 -0.807569379 -0.32300350 0.4017359624 > test-fMRI.R: [6,] -1.188515820 -0.388829646 -0.609510218 -0.09534976 0.2934668010 > test-fMRI.R: [7,] -1.126580561 0.675464580 -0.080257895 0.82278301 0.7465105691 > test-fMRI.R: [8,] 0.774460253 -1.245046372 0.166836419 0.39016914 0.3720589703 > test-fMRI.R: [9,] 1.084027868 -1.914387665 -0.146452542 -1.34086891 0.0907177079 > test-fMRI.R: [10,] -1.196146573 0.807310889 -0.267170617 -0.16607212 0.6601358753 > test-fMRI.R: [11,] -0.809946193 -0.900854233 -0.019176468 1.25635631 0.2049942235 > test-fMRI.R: [12,] 1.498411638 0.641899700 -1.834528813 0.50683691 0.7502023725 > test-fMRI.R: [13,] 0.369136784 -1.357119290 -0.690117921 0.02412719 0.0030309233 > test-fMRI.R: [14,] 1.976906554 -2.001108792 1.215353984 -0.28606766 0.9249137717 > test-fMRI.R: [15,] 0.583792901 -0.349093965 -0.195509235 -1.75902660 0.5629600883 > test-fMRI.R: [16,] -0.038998900 -0.818779541 0.140336790 -0.01676713 0.1052369750 > test-fMRI.R: [17,] -0.692964938 -0.287281629 -0.564967548 0.53795294 0.7569031713 > test-fMRI.R: [18,] -0.578767493 -0.950962640 -0.439240926 -0.10886287 0.4990809144 > test-fMRI.R: [19,] -0.112405968 1.438444021 1.768809256 -1.39057114 0.9311247385 > test-fMRI.R: [20,] -0.312570061 -0.990971700 0.632796834 -0.03316753 0.3556394768 > test-fMRI.R: [21,] -0.623552185 1.099932237 0.210547221 -2.12809772 0.3131575810 > test-fMRI.R: [22,] 0.256716092 -1.560902861 -1.632963888 -0.05540344 0.8994787368 > test-fMRI.R: [23,] -0.422489197 -0.183982582 0.653625003 -0.97501266 0.0929525451 > test-fMRI.R: [24,] -0.007053183 -1.775798266 1.050504202 1.09993698 0.4602200757 > test-fMRI.R: [25,] 0.880328452 -1.851416096 2.603426404 0.49241367 0.1333490572 > test-fMRI.R: [26,] 0.288282884 -1.292650643 1.124970925 -1.35001950 0.6396128626 > test-fMRI.R: [27,] -0.057580320 -0.640370345 0.233816429 1.58140838 0.8952247733 > test-fMRI.R: [28,] 0.786161857 0.848999425 -0.436387295 -2.21654783 0.7760575553 > test-fMRI.R: [29,] 0.524455886 1.879418048 -1.884850680 -0.09048876 0.7707758941 > test-fMRI.R: [30,] 0.091506513 -0.080861443 0.143243553 0.45907371 0.7951966112 > test-fMRI.R: [31,] -0.137085706 -1.115028088 -0.326043129 -1.57470065 0.9998331423 > test-fMRI.R: [32,] 0.217200562 -0.733816274 -1.126112137 0.34804339 0.8888421630 > test-fMRI.R: [33,] -0.734130050 1.258978165 1.395386551 -1.42006271 0.4849989467 > test-fMRI.R: [34,] 1.435426937 -1.463567346 1.703315041 1.18907067 0.7822514668 > test-fMRI.R: [35,] 1.040001696 0.246891082 -1.342718870 1.04253785 0.8892776153 > test-fMRI.R: [36,] -0.333632170 -0.364399071 -0.588626938 -1.22410364 0.6168125225 > test-fMRI.R: [37,] -1.107917852 -0.973775306 0.540274410 -0.77548270 0.2693695729 > test-fMRI.R: [38,] -0.199810200 0.638580238 -0.464191908 -0.52549825 0.7730048703 > test-fMRI.R: [39,] -0.915730457 -1.519091425 1.812921535 0.47895623 0.7435227817 > test-fMRI.R: [40,] 0.477210291 -1.381949174 -0.133554578 1.73860779 0.4041805015 > test-fMRI.R: [41,] -1.921453746 -0.206918101 -1.364745265 0.93833326 0.6008323100 > test-fMRI.R: [42,] -0.639107066 1.077755220 0.757470073 -0.65765479 0.3162523800 > test-fMRI.R: [43,] 0.674508871 1.198167341 0.788140540 0.92672299 0.7828234686 > test-fMRI.R: [44,] -0.515499120 0.205541937 -0.262079256 -0.92644936 0.6150362548 > test-fMRI.R: [45,] 1.001949662 1.552761567 0.786434212 0.66027196 0.8563981684 > test-fMRI.R: [46,] 1.350303083 0.044467828 -0.348473663 -0.10474725 0.5120360027 > test-fMRI.R: [47,] 0.859035094 -0.025633357 -0.429455072 3.03505928 0.5978491547 > test-fMRI.R: [48,] 0.049101629 0.978256606 -0.023339098 0.94526691 0.1839455560 > test-fMRI.R: [49,] -1.224618602 -1.879656081 0.017412311 -0.15900938 0.9130126411 > test-fMRI.R: [50,] 0.292221763 1.772938176 -0.134638814 0.07963250 0.1918343253 > test-fMRI.R: [51,] -0.243772107 -1.194765425 -0.909512895 1.13059775 0.2836496582 > test-fMRI.R: [52,] 1.697567597 2.298354209 -1.163717586 -1.26144723 0.2061639789 > test-fMRI.R: [53,] 0.682447870 1.251644787 1.480132687 0.71324626 0.8737158666 > test-fMRI.R: [54,] 0.018021954 0.070586397 -0.260754929 -0.33808885 0.9484232625 > test-fMRI.R: [55,] -0.685792320 1.780937195 -0.963803286 0.13884132 0.7250418096 > test-fMRI.R: [56,] -1.182857399 0.427554507 0.004832919 -0.01301662 0.8405420864 > test-fMRI.R: [57,] 0.333736160 0.853901981 0.188682335 -0.20901897 0.0482986931 > test-fMRI.R: [58,] -1.200722998 -0.656092762 -0.235128911 2.14977712 0.4447930344 > test-fMRI.R: [59,] 0.023174478 -0.560631603 -0.335600896 -0.02423430 0.4850324671 > test-fMRI.R: [60,] 0.659774597 0.288706373 0.603100988 1.77057245 0.2016932020 > test-fMRI.R: [61,] 1.613228706 1.292843259 3.195979131 0.53148306 0.0092808461 > test-fMRI.R: [62,] 0.378329286 0.502622018 0.382342896 -1.44090025 0.8082763290 > test-fMRI.R: [63,] 0.047821896 0.760089508 -0.167328714 2.00115554 0.1006171116 > test-fMRI.R: [64,] 0.305395759 -0.123871601 -1.232532394 1.11544494 0.5934744551 > test-fMRI.R: [65,] 2.243018081 -0.638040119 -0.116935012 0.50296019 0.9771409775 > test-fMRI.R: [66,] 0.125665112 -1.345876590 0.150300756 1.29617968 0.5060747493 > test-fMRI.R: [67,] -1.463600782 -0.268245114 0.276566289 0.62798994 0.4877004565 > test-fMRI.R: [68,] 2.101995885 0.998306161 0.865768250 -0.58874752 > test-fMRI.R: 0.9620116412 > test-fMRI.R: [69,] -0.008184558 0.166440056 -1.044373865 -0.10980765 0.2177263255 > test-fMRI.R: [70,] 1.173878873 -0.512633263 0.599459384 -0.75361552 0.6240462477 > test-fMRI.R: [71,] 0.738121972 0.130127945 1.627192785 1.03853384 0.8611469878 > test-fMRI.R: [72,] -0.998117007 1.108614418 1.405141328 0.39139285 0.8432472410 > test-fMRI.R: [73,] 0.497245840 -1.018821747 2.296728929 0.17880129 0.6627012333 > test-fMRI.R: [74,] 1.687573621 0.044196621 -1.654958094 0.68423590 0.6612164852 > test-fMRI.R: [75,] -1.773977654 0.469402138 -0.005322628 -0.62659113 0.6263918907 > test-fMRI.R: [76,] 0.161194808 -1.811402749 -1.487583341 0.33511444 0.3167496616 > test-fMRI.R: [77,] 0.232626300 -0.649130042 1.022798531 -1.20116525 0.8670934048 > test-fMRI.R: [78,] -0.108062538 1.023422409 -0.455666686 -0.93171932 0.8407009309 > test-fMRI.R: [79,] 1.561093247 0.293074690 0.955400280 -0.56092206 0.7917481398 > test-fMRI.R: [80,] -0.413929537 0.786693564 1.275751618 -1.48580177 0.1047428277 > test-fMRI.R: [81,] -0.604671347 0.669605981 0.698581704 0.68806140 0.6201725936 > test-fMRI.R: [82,] 1.754806699 2.529297600 1.762792761 0.21347937 0.5245549973 > test-fMRI.R: [83,] 1.891652471 -0.668940007 -0.339379211 2.18855550 0.9214948652 > test-fMRI.R: [84,] -0.068387756 -0.002658185 -1.604501958 -0.44108957 0.4009001998 > test-fMRI.R: [85,] 0.073312129 -1.240132785 1.803661644 -0.22582094 0.5103203988 > test-fMRI.R: [86,] 0.575481457 -0.751513722 -0.236856526 -0.05315284 0.5572800786 > test-fMRI.R: [87,] -0.898951583 -1.550412117 -1.325033979 0.89567625 0.1437750857 > test-fMRI.R: [88,] 1.043775725 -0.750875626 -1.444705179 0.63962951 0.3831656726 > test-fMRI.R: [89,] 1.369568038 -1.899147150 -0.572868582 0.89972271 0.2402715390 > test-fMRI.R: [90,] -0.981973864 1.243707929 0.586377554 0.19347549 0.6667552935 > test-fMRI.R: [91,] 0.325642270 -0.510409589 -0.677300942 -1.15819017 0.7768403900 > test-fMRI.R: [92,] 0.046538329 1.071212737 0.367266527 0.06807008 0.2914563772 > test-fMRI.R: [93,] 0.193079166 -1.147732277 -2.027433948 0.79001905 0.8451754511 > test-fMRI.R: [94,] -1.959259060 -0.039693430 1.453420985 -0.19704554 0.6461675106 > test-fMRI.R: [95,] -0.049385095 0.686186052 -0.997538438 -0.76986486 0.6419338667 > test-fMRI.R: [96,] 0.560362100 -0.188262790 0.952672241 0.25218676 0.8501586698 > test-fMRI.R: [97,] -0.202716406 2.817050825 -1.407493372 0.34616593 0.0008334286 > test-fMRI.R: [98,] 1.322876665 -0.711847564 -0.579948387 0.75337183 0.7706127681 > test-fMRI.R: [99,] 1.024118389 1.496945757 1.070884097 0.61813900 0.5008638915 > test-fMRI.R: [100,] 0.595895492 1.104636068 -1.120304675 -2.65996635 0.0172171183 > test-fMRI.R: sd > test-fMRI.R: [1,] 2.9213362 > test-fMRI.R: [2,] 0.4573646 > test-fMRI.R: [3,] 1.1027338 > test-fMRI.R: [4,] 2.2966862 > test-fMRI.R: [5,] 0.9493990 > test-fMRI.R: [6,] 0.1161513 > test-fMRI.R: [7,] 1.6054377 > test-fMRI.R: [8,] 2.1062519 > test-fMRI.R: [9,] 5.4001054 > test-fMRI.R: [10,] 3.7558975 > test-fMRI.R: [11,] 1.4228178 > test-fMRI.R: [12,] 0.3920431 > test-fMRI.R: [13,] 1.7291188 > test-fMRI.R: [14,] 2.6850125 > test-fMRI.R: [15,] 2.8258466 > test-fMRI.R: [16,] 1.6495210 > test-fMRI.R: [17,] 0.6035398 > test-fMRI.R: [18,] 1.6461435 > test-fMRI.R: [19,] 0.2933776 > test-fMRI.R: [20,] 0.9253704 > test-fMRI.R: [21,] 0.4057166 > test-fMRI.R: [22,] 9.4228719 > test-fMRI.R: [23,] 0.6624286 > test-fMRI.R: [24,] 0.7272427 > test-fMRI.R: [25,] 0.2036907 > test-fMRI.R: [26,] 0.4771052 > test-fMRI.R: [27,] 0.6782191 > test-fMRI.R: [28,] 1.0737517 > test-fMRI.R: [29,] 1.0000524 > test-fMRI.R: [30,] 1.4154643 > test-fMRI.R: [31,] 0.2454766 > test-fMRI.R: [32,] 1.2258818 > test-fMRI.R: [33,] 2.6537107 > test-fMRI.R: [34,] 1.3156333 > test-fMRI.R: [35,] 0.4418715 > test-fMRI.R: [36,] 1.3736140 > test-fMRI.R: [37,] 0.2878662 > test-fMRI.R: [38,] 3.1833923 > test-fMRI.R: [39,] 0.3162599 > test-fMRI.R: [40,] 1.7768294 > test-fMRI.R: [41,] 0.9086800 > test-fMRI.R: [42,] 0.9282099 > test-fMRI.R: [43,] 0.7353188 > test-fMRI.R: [44,] 1.4097360 > test-fMRI.R: [45,] 0.1837629 > test-fMRI.R: [46,] 0.3240959 > test-fMRI.R: [47,] 4.1888019 > test-fMRI.R: [48,] 0.9341698 > test-fMRI.R: [49,] 0.2719194 > test-fMRI.R: [50,] 1.0505294 > test-fMRI.R: [51,] 4.4733304 > test-fMRI.R: [52,] 0.4791635 > test-fMRI.R: [53,] 6.3593980 > test-fMRI.R: [54,] 1.3474244 > test-fMRI.R: [55,] 2.2153865 > test-fMRI.R: [56,] 2.2334282 > test-fMRI.R: [57,] 9.2318900 > test-fMRI.R: [58,] 0.4141316 > test-fMRI.R: [59,] 0.5578598 > test-fMRI.R: [60,] 2.4647117 > test-fMRI.R: [61,] 0.3732618 > test-fMRI.R: [62,] 0.4272589 > test-fMRI.R: [63,] 1.9196533 > test-fMRI.R: [64,] 0.4647553 > test-fMRI.R: [65,] 0.2783445 > test-fMRI.R: [66,] 0.4120287 > test-fMRI.R: [67,] 3.5168740 > test-fMRI.R: [68,] 0.3772614 > test-fMRI.R: [69,] 0.6241435 > test-fMRI.R: [70,] 0.6183650 > test-fMRI.R: [71,] 1.7680646 > test-fMRI.R: [72,] 1.3896668 > test-fMRI.R: [73,] 0.2749140 > test-fMRI.R: [74,] 4.4363955 > test-fMRI.R: [75,] 0.9659052 > test-fMRI.R: [76,] 0.4444126 > test-fMRI.R: [77,] 4.1086984 > test-fMRI.R: [78,] 3.5007431 > test-fMRI.R: [79,] 1.2940977 > test-fMRI.R: [80,] 0.7190419 > test-fMRI.R: [81,] 1.0524113 > test-fMRI.R: > test-fMRI.R: [82,] 0.5359570 > test-fMRI.R: [83,] 3.7935562 > test-fMRI.R: [84,] 0.9906886 > test-fMRI.R: [85,] 4.3001800 > test-fMRI.R: [86,] 0.6186159 > test-fMRI.R: [87,] 1.2827160 > test-fMRI.R: [88,] 0.8677329 > test-fMRI.R: [89,] 0.3330059 > test-fMRI.R: [90,] 14.1364963 > test-fMRI.R: [91,] 0.5203763 > test-fMRI.R: [92,] 1.0315538 > test-fMRI.R: [93,] 0.4778358 > test-fMRI.R: [94,] 2.5248449 > test-fMRI.R: [95,] 3.0736928 > test-fMRI.R: [96,] 0.5491568 > test-fMRI.R: [97,] 0.3450937 > test-fMRI.R: [98,] 4.6089217 > test-fMRI.R: [99,] 1.2089280 > test-fMRI.R: [100,] 0.4697052 > test-fMRI.R: > test-fMRI.R: attr(,"class") > test-fMRI.R: [1] "mcmc.list" > test-fMRI.R: > test-fMRI.R: Processing data set 1 > test-group.R: Parameter(s) SZ, Z, s, st0, sv not specified in formula and assumed constant. > test-group.R: > test-group.R: Sampled Parameters: > test-group.R: [1] "v" "v_S1" "a" "a_Eneutral" "a_Eaccuracy" > test-group.R: [6] "t0" > test-group.R: > test-group.R: Design Matrices: > test-group.R: $v > test-group.R: S v v_S1 > test-group.R: left 1 -1 > test-group.R: right 1 1 > test-group.R: > test-group.R: $a > test-group.R: E a a_Eneutral a_Eaccuracy > test-group.R: speed 1 0 0 > test-group.R: neutral 1 1 0 > test-group.R: accuracy 1 0 1 > test-group.R: > test-group.R: $t0 > test-group.R: t0 > test-group.R: 1 > test-group.R: > test-group.R: $SZ > test-group.R: SZ > test-group.R: 1 > test-group.R: > test-group.R: $Z > test-group.R: Z > test-group.R: 1 > test-group.R: > test-group.R: $s > test-group.R: s > test-group.R: 1 > test-group.R: > test-group.R: $st0 > test-group.R: st0 > test-group.R: 1 > test-group.R: > test-group.R: $sv > test-group.R: sv > test-group.R: 1 > test-group.R: > test-group.R: Processing data set 1 > test-joint.R: Processing data set 1 > test-joint.R: Likelihood speedup factor: 7.2 (346 unique trials) > test-joint.R: Processing data set 2 > test-joint.R: Likelihood speedup factor: 7.2 (346 unique trials) Saving _problems/test-joint-15.R > test-make_design.R: Parameter(s) A not specified in formula and assumed constant. > test-make_design.R: > test-make_design.R: Sampled Parameters: > test-make_design.R: [1] "v" "v_lMd" "sv_lMTRUE" "B" > test-make_design.R: [5] "B_Eneutral" "B_Eaccuracy" "B_lRright" "t0" > test-make_design.R: [9] "t0_E2nonspeed" "t0_CO" > test-make_design.R: > test-make_design.R: Design Matrices: > test-make_design.R: $v > test-make_design.R: lM v v_lMd > test-make_design.R: TRUE 1 0.5 > test-make_design.R: FALSE 1 -0.5 > test-make_design.R: > test-make_design.R: $sv > test-make_design.R: lM sv sv_lMTRUE > test-make_design.R: TRUE 1 1 > test-make_design.R: FALSE 1 0 > test-make_design.R: > test-make_design.R: $B > test-make_design.R: E lR B B_Eneutral B_Eaccuracy B_lRright > test-make_design.R: speed left 1 0 0 0 > test-make_design.R: speed right 1 0 0 1 > test-make_design.R: neutral left 1 1 0 0 > test-make_design.R: neutral right 1 1 0 1 > test-make_design.R: accuracy left 1 0 1 0 > test-make_design.R: accuracy right 1 0 1 1 > test-make_design.R: > test-make_design.R: $t0 > test-make_design.R: E2 CO t0 t0_E2nonspeed t0_CO > test-make_design.R: speed 1 1 0 1 > test-make_design.R: nonspeed 2 1 1 2 > test-make_design.R: > test-make_design.R: $A > test-make_design.R: A > test-make_design.R: 1 > test-make_design.R: > test-make_design.R: > test-make_design.R: Sampled Parameters: > test-make_design.R: [1] "m_Sleft" "m_Sright" "t0" > test-make_design.R: > test-make_design.R: Design Matrices: > test-make_design.R: $m > test-make_design.R: S m_Sleft m_Sright > test-make_design.R: left 1 0 > test-make_design.R: right 0 1 > test-make_design.R: > test-make_design.R: $s > test-make_design.R: s > test-make_design.R: 1 > test-make_design.R: > test-make_design.R: $t0 > test-make_design.R: t0 > test-make_design.R: 1 > test-make_design.R: > test-make_emc.R: > test-make_emc.R: Sampled Parameters: > test-make_emc.R: [1] "v" "B" "B_Eneutral" "B_Eaccuracy" "B_lRright" > test-make_emc.R: [6] "A" "t0" > test-make_emc.R: > test-make_emc.R: Design Matrices: > test-make_emc.R: $v > test-make_emc.R: v > test-make_emc.R: 1 > test-make_emc.R: > test-make_emc.R: $sv > test-make_emc.R: sv > test-make_emc.R: 1 > test-make_emc.R: > test-make_emc.R: $B > test-make_emc.R: E lR B B_Eneutral B_Eaccuracy B_lRright > test-make_emc.R: speed left 1 0 0 0 > test-make_emc.R: speed right 1 0 0 1 > test-make_emc.R: neutral left 1 1 0 0 > test-make_emc.R: neutral right 1 1 0 1 > test-make_emc.R: accuracy left 1 0 1 0 > test-make_emc.R: accuracy right 1 0 1 1 > test-make_emc.R: > test-make_emc.R: $A > test-make_emc.R: A > test-make_emc.R: 1 > test-make_emc.R: > test-make_emc.R: $t0 > test-make_emc.R: t0 > test-make_emc.R: 1 > test-make_emc.R: > test-make_emc.R: Processing data set 1 > test-map.R: Parameter(s) A, sv not specified in formula and assumed constant. > test-map.R: > test-map.R: Sampled Parameters: > test-map.R: [1] "v" "v_covariate" "v_Eneutral" > test-map.R: [4] "v_Eaccuracy" "v_covariate:Eneutral" "v_covariate:Eaccuracy" > test-map.R: [7] "B" "B_Eneutral" "B_Eaccuracy" > test-map.R: [10] "t0" "t0_Sright" > test-map.R: > test-map.R: Design Matrices: > test-map.R: $v > test-map.R: covariate E v v_covariate v_Eneutral v_Eaccuracy v_covariate:Eneutral > test-map.R: 1 speed 1 1 0 0 0 > test-map.R: 2 neutral 1 2 1 0 2 > test-map.R: 3 accuracy 1 3 0 1 0 > test-map.R: v_covariate:Eaccuracy > test-map.R: 0 > test-map.R: 0 > test-map.R: 3 > test-map.R: > test-map.R: $B > test-map.R: E B B_Eneutral B_Eaccuracy > test-map.R: speed 1 0 0 > test-map.R: neutral 1 1 0 > test-map.R: accuracy 1 0 1 > test-map.R: > test-map.R: $t0 > test-map.R: S t0 t0_Sright > test-map.R: left 1 0 > test-map.R: right 1 1 > test-map.R: > test-map.R: $A > test-map.R: A > test-map.R: 1 > test-map.R: > test-map.R: $sv > test-map.R: sv > test-map.R: 1 > test-map.R: > test-model_functions.R: > test-model_functions.R: Sampled Parameters: > test-model_functions.R: [1] "m" "m_lMd" "m_Eneutral" "m_Eaccuracy" "s" > test-model_functions.R: [6] "t0" > test-model_functions.R: > test-model_functions.R: Design Matrices: > test-model_functions.R: $m > test-model_functions.R: lM E m m_lMd m_Eneutral m_Eaccuracy > test-model_functions.R: TRUE speed 1 0.5 0 0 > test-model_functions.R: FALSE speed 1 -0.5 0 0 > test-model_functions.R: TRUE neutral 1 0.5 1 0 > test-model_functions.R: FALSE neutral 1 -0.5 1 0 > test-model_functions.R: TRUE accuracy 1 0.5 0 1 > test-model_functions.R: FALSE accuracy 1 -0.5 0 1 > test-model_functions.R: > test-model_functions.R: $s > test-model_functions.R: s > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: $t0 > test-model_functions.R: t0 > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: > test-model_functions.R: Sampled Parameters: > test-model_functions.R: [1] "v" "v_lMd" "sv_lMTRUE" "B" "B_Eneutral" > test-model_functions.R: [6] "B_Eaccuracy" "B_lRright" "A" "t0" > test-model_functions.R: > test-model_functions.R: Design Matrices: > test-model_functions.R: $v > test-model_functions.R: lM v v_lMd > test-model_functions.R: TRUE 1 0.5 > test-model_functions.R: FALSE 1 -0.5 > test-model_functions.R: > test-model_functions.R: $sv > test-model_functions.R: lM sv sv_lMTRUE > test-model_functions.R: TRUE 1 1 > test-model_functions.R: FALSE 1 0 > test-model_functions.R: > test-model_functions.R: $B > test-model_functions.R: E lR B B_Eneutral B_Eaccuracy B_lRright > test-model_functions.R: speed left 1 0 0 0 > test-model_functions.R: speed right 1 0 0 1 > test-model_functions.R: neutral left 1 1 0 0 > test-model_functions.R: neutral right 1 1 0 1 > test-model_functions.R: accuracy left 1 0 1 0 > test-model_functions.R: accuracy right 1 0 1 1 > test-model_functions.R: > test-model_functions.R: $A > test-model_functions.R: A > test-model_functions.R: > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: $t0 > test-model_functions.R: t0 > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: > test-model_functions.R: Sampled Parameters: > test-model_functions.R: [1] "v" "v_lMd" "s_lMTRUE" "B" "B_Eneutral" > test-model_functions.R: [6] "B_Eaccuracy" "B_lRright" "A" "t0" > test-model_functions.R: > test-model_functions.R: Design Matrices: > test-model_functions.R: $v > test-model_functions.R: lM v v_lMd > test-model_functions.R: TRUE 1 0.5 > test-model_functions.R: FALSE 1 -0.5 > test-model_functions.R: > test-model_functions.R: $s > test-model_functions.R: lM s s_lMTRUE > test-model_functions.R: TRUE 1 1 > test-model_functions.R: FALSE 1 0 > test-model_functions.R: > test-model_functions.R: $B > test-model_functions.R: E lR B B_Eneutral B_Eaccuracy B_lRright > test-model_functions.R: speed left 1 0 0 0 > test-model_functions.R: speed right 1 0 0 1 > test-model_functions.R: neutral left 1 1 0 0 > test-model_functions.R: neutral right 1 1 0 1 > test-model_functions.R: accuracy left 1 0 1 0 > test-model_functions.R: accuracy right 1 0 1 1 > test-model_functions.R: > test-model_functions.R: $A > test-model_functions.R: A > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: $t0 > test-model_functions.R: t0 > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: Parameter(s) st0 not specified in formula and assumed constant. > test-model_functions.R: > test-model_functions.R: Sampled Parameters: > test-model_functions.R: [1] "v_Sleft" "v_Sright" "a" "a_Eneutral" "a_Eaccuracy" > test-model_functions.R: [6] "t0" "Z" "sv" "SZ" > test-model_functions.R: > test-model_functions.R: Design Matrices: > test-model_functions.R: $v > test-model_functions.R: S v_Sleft v_Sright > test-model_functions.R: left 1 0 > test-model_functions.R: right 0 1 > test-model_functions.R: > test-model_functions.R: $a > test-model_functions.R: E a a_Eneutral a_Eaccuracy > test-model_functions.R: speed 1 0 0 > test-model_functions.R: neutral 1 1 0 > test-model_functions.R: accuracy 1 0 1 > test-model_functions.R: > test-model_functions.R: $t0 > test-model_functions.R: t0 > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: $s > test-model_functions.R: s > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: $Z > test-model_functions.R: Z > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: $sv > test-model_functions.R: sv > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: $SZ > test-model_functions.R: SZ > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: $st0 > test-model_functions.R: st0 > test-model_functions.R: 1 > test-model_functions.R: > test-model_functions.R: Processing data set 1 > test-model_functions.R: Processing data set 1 > test-model_functions.R: Processing data set 1 > test-model_functions.R: Processing data set 1 Saving _problems/test-model_functions-48.R Saving _problems/test-model_functions-55.R Saving _problems/test-model_functions-63.R Saving _problems/test-model_functions-71.R > test-new_models.R: Parameter(s) SZ, s, st0, sv not specified in formula and assumed constant. > test-new_models.R: > test-new_models.R: Sampled Parameters: > test-new_models.R: [1] "v" "v_Sright" "a" "Z" "t0" > test-new_models.R: > test-new_models.R: Design Matrices: > test-new_models.R: $v > test-new_models.R: S v v_Sright > test-new_models.R: left 1 0 > test-new_models.R: right 1 1 > test-new_models.R: > test-new_models.R: $a > test-new_models.R: a > test-new_models.R: 1 > test-new_models.R: > test-new_models.R: $Z > test-new_models.R: Z > test-new_models.R: 1 > test-new_models.R: > test-new_models.R: $t0 > test-new_models.R: t0 > test-new_models.R: 1 > test-new_models.R: > test-new_models.R: $SZ > test-new_models.R: SZ > test-new_models.R: 1 > test-new_models.R: > test-new_models.R: $s > test-new_models.R: s > test-new_models.R: 1 > test-new_models.R: > test-new_models.R: $st0 > test-new_models.R: st0 > test-new_models.R: 1 > test-new_models.R: > test-new_models.R: $sv > test-new_models.R: sv > test-new_models.R: 1 > test-new_models.R: > test-new_models.R: Processing data set 1 > test-new_models.R: > test-new_models.R: Sampled Parameters: > test-new_models.R: [1] "mean_Sleft" "mean_Sright" > test-new_models.R: > test-new_models.R: Design Matrices: > test-new_models.R: $mean > test-new_models.R: S mean_Sleft mean_Sright > test-new_models.R: left 1 0 > test-new_models.R: right 0 1 > test-new_models.R: > test-new_models.R: $sd > test-new_models.R: sd > test-new_models.R: 1 > test-new_models.R: > test-new_models.R: $threshold > test-new_models.R: threshold > test-new_models.R: 1 > test-new_models.R: > test-new_models.R: Processing data set 1 Saving _problems/test-new_models-20.R Saving _problems/test-new_models-38.R > test-pairs_posterior.R: m~m_lMd m~s m_lMd~s m~t0 m_lMd~t0 s~t0 > test-pairs_posterior.R: -0.02946101 -0.01738143 0.08874894 0.05848481 0.18234901 0.50753425 > test-plot_chains.R: NULL > test-plot_fit.R: NULL > test-plot_fit.R: NULL > test-plot_fit.R: $data > test-plot_fit.R: [1] 0.008542669 > test-plot_fit.R: > test-plot_fit.R: $posterior > test-plot_fit.R: right_posterior_0.025 right_posterior_0.5 right_posterior_0.975 > test-plot_fit.R: 1 -0.006759216 0.0006998897 0.01121992 > test-plot_fit.R: > test-plot_pars.R: $sigma2 > test-plot_pars.R: m m_lMd s t0 > test-plot_pars.R: 0.9999988 0.9999912 0.9999684 0.9999988 > test-plot_pars.R: > test-plot_pars.R: $subjects > test-plot_pars.R: m m_lMd s t0 > test-plot_pars.R: 0.8889801 0.7130407 0.6808975 0.7134236 > test-plot_pars.R: > test-plot_relations.R: NULL > test-plot_relations.R: NULL > test-profile.R: true max miss > test-profile.R: m -0.968 -0.996 0.028 > test-profile.R: m_lMd -0.514 -0.532 0.018 > test-profile.R: s -0.533 -0.515 -0.018 > test-profile.R: t0 -1.627 -1.650 0.023 > test-stopS.R: > test-stopS.R: Sampled Parameters: > test-stopS.R: [1] "mu" "mu_lMTRUE" "sigma" "tau" "muS" "sigmaS" > test-stopS.R: [7] "tauS" "gf" "tf" > test-stopS.R: > test-stopS.R: Design Matrices: > test-stopS.R: $mu > test-stopS.R: lM mu mu_lMTRUE > test-stopS.R: TRUE 1 1 > test-stopS.R: FALSE 1 0 > test-stopS.R: > test-stopS.R: $sigma > test-stopS.R: sigma > test-stopS.R: 1 > test-stopS.R: > test-stopS.R: $tau > test-stopS.R: tau > test-stopS.R: 1 > test-stopS.R: > test-stopS.R: $muS > test-stopS.R: muS > test-stopS.R: 1 > test-stopS.R: > test-stopS.R: $sigmaS > test-stopS.R: sigmaS > test-stopS.R: 1 > test-stopS.R: > test-stopS.R: $tauS > test-stopS.R: tauS > test-stopS.R: 1 > test-stopS.R: > test-stopS.R: $gf > test-stopS.R: gf > test-stopS.R: 1 > test-stopS.R: > test-stopS.R: $tf > test-stopS.R: tf > test-stopS.R: 1 > test-stopS.R: > test-stopS.R: Processing data set 1 > test-stopS.R: Likelihood speedup factor: 1.1 (19 unique trials) > test-trend.R: Intercept formula added for trend_pars: m.w, m.d_ei > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "m.w" "m.d_ei" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.w > test-trend.R: m.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d_ei > test-trend.R: m.d_ei > test-trend.R: 1 > test-trend.R: > test-trend.R: Processing data set 1 > test-trend.R: Intercept formula added for trend_pars: m.w, m.d_ei, m_lMd.w, m_lMd.d_pd > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "m.w" > test-trend.R: [6] "m.d_ei" "m_lMd.w" "m_lMd.d_pd" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.w > test-trend.R: m.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d_ei > test-trend.R: m.d_ei > test-trend.R: 1 > test-trend.R: > test-trend.R: $m_lMd.w > test-trend.R: m_lMd.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $m_lMd.d_pd > test-trend.R: m_lMd.d_pd > test-trend.R: 1 > test-trend.R: > test-trend.R: Processing data set 1 > test-trend.R: Intercept formula added for trend_pars: m.w, m.d_ei, lMd.d2 > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "lMd.d1" > test-trend.R: [6] "lMd.d1_lR2" "m.w" "m.d_ei" "lMd.d2" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $lMd.d1 > test-trend.R: lR > test-trend.R: lMd.d1 lMd.d1_lR2 > test-trend.R: 1 1 0 > test-trend.R: 2 1 1 > test-trend.R: > test-trend.R: $m.w > test-trend.R: m.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d_ei > test-trend.R: m.d_ei > test-trend.R: 1 > test-trend.R: > test-trend.R: $lMd.d2 > test-trend.R: lMd.d2 > test-trend.R: 1 > test-trend.R: > test-trend.R: Processing data set 1 > test-trend.R: Intercept formula added for trend_pars: m.w, m.q0, m.alpha, s.d_ed > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "s.w" "s.w_lR2" "m.w" > test-trend.R: [8] "m.q0" "m.alpha" "s.d_ed" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.w > test-trend.R: lR s.w s.w_lR2 > test-trend.R: 1 1 0 > test-trend.R: 2 1 1 > test-trend.R: > test-trend.R: $m.w > test-trend.R: m.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.q0 > test-trend.R: m.q0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.alpha > test-trend.R: m.alpha > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d_ed > test-trend.R: s.d_ed > test-trend.R: 1 > test-trend.R: > test-trend.R: Processing data set 1 > test-trend.R: Intercept formula added for trend_pars: m.w, m.d_pd, s.d_pi > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "s.w" "s.w_lR2" "m.w" > test-trend.R: [8] "m.d_pd" "s.d_pi" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.w > test-trend.R: lR s.w s.w_lR2 > test-trend.R: 1 1 0 > test-trend.R: 2 1 1 > test-trend.R: > test-trend.R: $m.w > test-trend.R: m.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d_pd > test-trend.R: m.d_pd > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d_pi > test-trend.R: s.d_pi > test-trend.R: 1 > test-trend.R: > test-trend.R: Processing data set 1 > test-variant_funs.R: > test-variant_funs.R: Sampled Parameters: > test-variant_funs.R: [1] "m" "m_lMd" "s" "t0" > test-variant_funs.R: > test-variant_funs.R: Design Matrices: > test-variant_funs.R: $m > test-variant_funs.R: lM m m_lMd > test-variant_funs.R: TRUE 1 0.5 > test-variant_funs.R: FALSE 1 -0.5 > test-variant_funs.R: > test-variant_funs.R: $s > test-variant_funs.R: s > test-variant_funs.R: 1 > test-variant_funs.R: > test-variant_funs.R: $t0 > test-variant_funs.R: t0 > test-variant_funs.R: > test-variant_funs.R: 1 > test-variant_funs.R: > test-trend.R: Intercept formula added for trend_pars: m.w, m.d_ei, s.w, s.d_ed > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "m.w" "m.d_ei" "s.w" "s.d_ed" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.w > test-trend.R: m.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d_ei > test-trend.R: m.d_ei > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.w > test-trend.R: s.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d_ed > test-trend.R: s.d_ed > test-trend.R: 1 > test-trend.R: > test-trend.R: Processing data set 1 > test-trend.R: Intercept formula added for trend_pars: m.d1, m.d2, m.d3, s.d1, s.d2, s.d3, s.d4 > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "m.d1" "m.d2" "m.d3" "s.d1" "s.d2" > test-trend.R: [10] "s.d3" "s.d4" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d1 > test-trend.R: m.d1 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d2 > test-trend.R: m.d2 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d3 > test-trend.R: m.d3 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d1 > test-trend.R: s.d1 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d2 > test-trend.R: s.d2 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d3 > test-trend.R: s.d3 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d4 > test-trend.R: s.d4 > test-trend.R: 1 > test-trend.R: > test-trend.R: Processing data set 1 > test-trend.R: Intercept formula added for trend_pars: m.w, s.w, s.d_ed, t0.w, t0.d_pi > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "m.w" "s.w" "s.d_ed" > test-trend.R: [8] "t0.w" "t0.d_pi" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.w > test-trend.R: m.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.w > test-trend.R: s.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d_ed > test-trend.R: s.d_ed > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0.w > test-trend.R: t0.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0.d_pi > test-trend.R: t0.d_pi > test-trend.R: 1 > test-trend.R: > test-trend.R: Processing data set 1 > test-trend.R: Intercept formula added for trend_pars: m.w > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "m.w" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.w > test-trend.R: m.w > test-trend.R: 1 > test-trend.R: > test-trend.R: Processing data set 1 > test-trend.R: Intercept formula added for trend_pars: m.d2, m.d3, s.d2, s.d3, s.d4, shrd > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "m.d2" "m.d3" "s.d2" "s.d3" "s.d4" > test-trend.R: [10] "shrd" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d2 > test-trend.R: m.d2 > test-trend.R: > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d3 > test-trend.R: m.d3 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d2 > test-trend.R: s.d2 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d3 > test-trend.R: s.d3 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d4 > test-trend.R: s.d4 > test-trend.R: 1 > test-trend.R: > test-trend.R: $shrd > test-trend.R: shrd > test-trend.R: 1 > test-trend.R: > test-trend.R: Processing data set 1 > test-trend.R: Intercept formula added for trend_pars: m.d2, m.d3, s.d2, s.d3, s.d4, shrd > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "m.d2" "m.d3" "s.d2" "s.d3" "s.d4" > test-trend.R: [10] "shrd" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d2 > test-trend.R: m.d2 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d3 > test-trend.R: m.d3 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d2 > test-trend.R: s.d2 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d3 > test-trend.R: s.d3 > test-trend.R: 1 > test-trend.R: > test-trend.R: $s.d4 > test-trend.R: Processing data set 1 > test-trend.R: s.d4 > test-trend.R: 1 > test-trend.R: > test-trend.R: $shrd > test-trend.R: shrd > test-trend.R: 1 > test-trend.R: > test-trend.R: Intercept formula added for trend_pars: m.w, m.q0, m.alpha > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "m.w" "m.q0" "m.alpha" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.w > test-trend.R: m.w > test-trend.R: > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.q0 > test-trend.R: m.q0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.alpha > test-trend.R: m.alpha > test-trend.R: 1 > test-trend.R: > test-trend.R: Intercept formula added for trend_pars: m.w, m.d_ei, m.w.delta, m.q0, m.alpha > test-trend.R: > test-trend.R: Sampled Parameters: > test-trend.R: [1] "m" "m_lMd" "s" "t0" "m.w" "m.d_ei" > test-trend.R: [7] "m.w.delta" "m.q0" "m.alpha" > test-trend.R: > test-trend.R: Design Matrices: > test-trend.R: $m > test-trend.R: lM m m_lMd > test-trend.R: TRUE 1 0.5 > test-trend.R: FALSE 1 -0.5 > test-trend.R: > test-trend.R: $s > test-trend.R: s > test-trend.R: 1 > test-trend.R: > test-trend.R: $t0 > test-trend.R: t0 > test-trend.R: > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.w > test-trend.R: m.w > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.d_ei > test-trend.R: m.d_ei > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.w.delta > test-trend.R: m.w.delta > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.q0 > test-trend.R: m.q0 > test-trend.R: 1 > test-trend.R: > test-trend.R: $m.alpha > test-trend.R: m.alpha > test-trend.R: 1 > test-trend.R: > test-trend.R: Processing data set 1 [ FAIL 7 | WARN 0 | SKIP 37 | PASS 0 ] ══ Skipped tests (37) ══════════════════════════════════════════════════════════ • On CRAN (33): 'test-S3.R:7:1', 'test-S3.R:13:1', 'test-RACE.R:24:1', 'test-customLL.R:22:1', 'test-compare.R:4:1', 'test-compare.R:10:1', 'test-fMRI.R:46:1', 'test-fMRI.R:54:1', 'test-make_design.R:17:1', 'test-make_emc.R:18:1', 'test-map.R:10:1', 'test-map.R:19:1', 'test-pairs_posterior.R:1:1', 'test-plot_chains.R:1:1', 'test-plot_fit.R:8:1', 'test-plot_pars.R:1:1', 'test-plot_relations.R:1:1', 'test-profile.R:3:1', 'test-stopS.R:26:1', 'test-group.R:29:1', 'test-trend.R:35:1', 'test-trend.R:50:1', 'test-trend.R:72:1', 'test-trend.R:95:1', 'test-trend.R:118:1', 'test-trend.R:141:1', 'test-trend.R:163:1', 'test-trend.R:188:1', 'test-trend.R:212:1', 'test-trend.R:235:1', 'test-trend.R:257:1', 'test-trend.R:290:1', 'test-trend.R:321:1' • On Windows (4): 'test-fit.R:17:3', 'test-variant_funs.R:26:3', 'test-variant_funs.R:50:3', 'test-variant_funs.R:74:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-joint.R:15:3'): joint ────────────────────────────────────────── Error in `serverSocket(port = port)`: creation of server socket failed: port 11502 cannot be opened Backtrace: ▆ 1. └─EMC2::init_chains(joint, particles = 10, cores_for_chains = 1) 2. └─parallel::mclapply(...) 3. └─base::lapply(X, FUN, ...) 4. └─EMC2 (local) FUN(X[[i]], ...) 5. └─parallel::mclapply(...) 6. └─base::lapply(X, FUN, ...) 7. └─EMC2 (local) FUN(X[[i]], ...) 8. └─EMC2:::calc_ll_manager(...) 9. └─EMC2:::log_likelihood_joint(proposals, dadm, model, component) 10. └─EMC2:::calc_ll_manager(currentPars, dadm, model_list[[i]]) 11. ├─base::unlist(...) 12. └─EMC2:::auto_mclapply(...) 13. └─parallel::makeCluster(mc.cores) 14. └─parallel::makePSOCKcluster(names = spec, ...) 15. └─base::serverSocket(port = port) ── Error ('test-model_functions.R:48:3'): LNR ────────────────────────────────── Error in `serverSocket(port = port)`: creation of server socket failed: port 11502 cannot be opened Backtrace: ▆ 1. └─EMC2::init_chains(LNR_s, particles = 10, cores_per_chain = 1) 2. └─parallel::mclapply(...) 3. └─base::lapply(X, FUN, ...) 4. └─EMC2 (local) FUN(X[[i]], ...) 5. └─parallel::mclapply(...) 6. └─base::lapply(X, FUN, ...) 7. └─EMC2 (local) FUN(X[[i]], ...) 8. └─EMC2:::calc_ll_manager(...) 9. ├─base::unlist(...) 10. └─EMC2:::auto_mclapply(...) 11. └─parallel::makeCluster(mc.cores) 12. └─parallel::makePSOCKcluster(names = spec, ...) 13. └─base::serverSocket(port = port) ── Error ('test-model_functions.R:55:3'): LBA ────────────────────────────────── Error in `serverSocket(port = port)`: creation of server socket failed: port 11502 cannot be opened Backtrace: ▆ 1. └─EMC2::init_chains(LBA_s, particles = 10, cores_per_chain = 1) 2. └─parallel::mclapply(...) 3. └─base::lapply(X, FUN, ...) 4. └─EMC2 (local) FUN(X[[i]], ...) 5. └─parallel::mclapply(...) 6. └─base::lapply(X, FUN, ...) 7. └─EMC2 (local) FUN(X[[i]], ...) 8. └─EMC2:::calc_ll_manager(...) 9. ├─base::unlist(...) 10. └─EMC2:::auto_mclapply(...) 11. └─parallel::makeCluster(mc.cores) 12. └─parallel::makePSOCKcluster(names = spec, ...) 13. └─base::serverSocket(port = port) ── Error ('test-model_functions.R:63:3'): RDM ────────────────────────────────── Error in `serverSocket(port = port)`: creation of server socket failed: port 11502 cannot be opened Backtrace: ▆ 1. └─EMC2::init_chains(RDM_s, particles = 10, cores_per_chain = 1) 2. └─parallel::mclapply(...) 3. └─base::lapply(X, FUN, ...) 4. └─EMC2 (local) FUN(X[[i]], ...) 5. └─parallel::mclapply(...) 6. └─base::lapply(X, FUN, ...) 7. └─EMC2 (local) FUN(X[[i]], ...) 8. └─EMC2:::calc_ll_manager(...) 9. ├─base::unlist(...) 10. └─EMC2:::auto_mclapply(...) 11. └─parallel::makeCluster(mc.cores) 12. └─parallel::makePSOCKcluster(names = spec, ...) 13. └─base::serverSocket(port = port) ── Error ('test-model_functions.R:71:3'): DDM ────────────────────────────────── Error in `serverSocket(port = port)`: creation of server socket failed: port 11502 cannot be opened Backtrace: ▆ 1. └─EMC2::init_chains(DDM_s, particles = 10, cores_per_chain = 1) 2. └─parallel::mclapply(...) 3. └─base::lapply(X, FUN, ...) 4. └─EMC2 (local) FUN(X[[i]], ...) 5. └─parallel::mclapply(...) 6. └─base::lapply(X, FUN, ...) 7. └─EMC2 (local) FUN(X[[i]], ...) 8. └─EMC2:::calc_ll_manager(...) 9. ├─base::unlist(...) 10. └─EMC2:::auto_mclapply(...) 11. └─parallel::makeCluster(mc.cores) 12. └─parallel::makePSOCKcluster(names = spec, ...) 13. └─base::serverSocket(port = port) ── Error ('test-new_models.R:20:3'): DDMGNG ──────────────────────────────────── Error in `serverSocket(port = port)`: creation of server socket failed: port 11502 cannot be opened Backtrace: ▆ 1. └─EMC2::init_chains(emc, particles = 10, cores_per_chain = 1) 2. └─parallel::mclapply(...) 3. └─base::lapply(X, FUN, ...) 4. └─EMC2 (local) FUN(X[[i]], ...) 5. └─parallel::mclapply(...) 6. └─base::lapply(X, FUN, ...) 7. └─EMC2 (local) FUN(X[[i]], ...) 8. └─EMC2:::calc_ll_manager(...) 9. ├─base::unlist(...) 10. └─EMC2:::auto_mclapply(...) 11. └─parallel::makeCluster(mc.cores) 12. └─parallel::makePSOCKcluster(names = spec, ...) 13. └─base::serverSocket(port = port) ── Error ('test-new_models.R:38:3'): probit ──────────────────────────────────── Error in `serverSocket(port = port)`: creation of server socket failed: port 11502 cannot be opened Backtrace: ▆ 1. └─EMC2::init_chains(emc, particles = 10, cores_per_chain = 1) 2. └─parallel::mclapply(...) 3. └─base::lapply(X, FUN, ...) 4. └─EMC2 (local) FUN(X[[i]], ...) 5. └─parallel::mclapply(...) 6. └─base::lapply(X, FUN, ...) 7. └─EMC2 (local) FUN(X[[i]], ...) 8. └─EMC2:::calc_ll_manager(...) 9. ├─base::unlist(...) 10. └─EMC2:::auto_mclapply(...) 11. └─parallel::makeCluster(mc.cores) 12. └─parallel::makePSOCKcluster(names = spec, ...) 13. └─base::serverSocket(port = port) [ FAIL 7 | WARN 0 | SKIP 37 | PASS 0 ] Error: ! Test failures. Execution halted * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... [69s] OK * checking PDF version of manual ... [22s] OK * checking HTML version of manual ... [18s] OK * DONE Status: 1 ERROR, 1 NOTE