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(<timeseries>)
  > 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