CRAN Package Check Results for Package DMCfun

Last updated on 2024-01-25 06:52:43 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.5.2 51.29 149.96 201.25 OK
r-devel-linux-x86_64-debian-gcc 3.5.2 33.77 115.76 149.53 OK
r-devel-linux-x86_64-fedora-clang 3.5.2 279.16 OK
r-devel-linux-x86_64-fedora-gcc 3.5.2 273.18 OK
r-devel-windows-x86_64 3.5.2 40.00 201.00 241.00 OK
r-patched-linux-x86_64 3.5.2 33.17 129.03 162.20 ERROR
r-release-linux-x86_64 3.5.2 34.23 90.07 124.30 ERROR
r-release-macos-arm64 3.5.2 71.00 ERROR
r-release-macos-x86_64 3.5.2 160.00 OK
r-release-windows-x86_64 3.5.2 55.00 250.00 305.00 OK
r-oldrel-macos-arm64 3.5.2 87.00 ERROR
r-oldrel-windows-x86_64 3.5.2 51.00 240.00 291.00 OK

Additional issues

clang-UBSAN M1mac

Check Details

Version: 3.5.2
Check: tests
Result: ERROR Running ‘testthat.R’ [45s/66s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > test_check("DMCfun") Loading required package: DMCfun DMC Parameters: amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 440 106 0.66 474 95 0.0 incomp 459 95 1.36 404 95 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.9 354.8 374.7 394.6 416.3 441.4 472.1 512.4 578.6 incomp 364.0 385.7 403.5 420.3 438.1 458.5 483.6 518.5 579.1 mean 348.0 370.3 389.1 407.5 427.2 450.0 477.8 515.4 578.8 effect 32.1 30.9 28.8 25.6 21.8 17.1 11.5 6.0 0.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.996 0.992 0.990 0.992 incomp 0.965 0.989 0.992 0.993 0.993 DMC Parameters: amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 440 105 0.63 476 104 0.0 incomp 459 95 1.26 404 92 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 332.2 355.5 375.5 395.5 417.2 442.3 472.9 513.0 579.4 incomp 363.3 385.8 403.7 420.9 438.7 459.1 484.2 518.8 579.3 mean 347.8 370.7 389.6 408.2 427.9 450.7 478.5 515.9 579.4 effect 31.1 30.4 28.2 25.4 21.5 16.8 11.3 5.8 -0.1 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.995 0.992 0.991 0.991 incomp 0.967 0.990 0.993 0.994 0.993 DMC Parameters: amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 440 106 0.71 476 102 0.0 incomp 458 95 1.23 401 94 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.0 354.4 374.6 394.8 417.0 442.0 472.7 513.7 578.9 incomp 363.6 385.6 403.8 420.9 438.4 458.5 483.2 518.0 578.2 mean 347.3 370.0 389.2 407.9 427.7 450.2 477.9 515.8 578.6 effect 32.6 31.2 29.1 26.2 21.3 16.4 10.5 4.3 -0.7 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.996 0.991 0.988 0.991 incomp 0.967 0.990 0.994 0.994 0.994 DMC Parameters: amp:20.0 tau:150 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 421 90 0.28 501 129 0.0 incomp 484 103 2.30 419 78 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 335.4 354.8 370.5 385.4 400.7 418.2 440.0 471.6 530.2 incomp 371.8 399.2 421.7 443.6 465.9 490.8 519.8 557.6 618.5 mean 353.6 377.0 396.1 414.5 433.3 454.5 479.9 514.6 574.3 effect 36.5 44.3 51.2 58.2 65.2 72.6 79.8 86.0 88.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.999 0.998 0.998 0.993 incomp 0.948 0.970 0.983 0.989 0.994 Data set 1: | cost: 40.931 Data set 1: | cost: 40.925 Data set 1: | cost: 38.056 Data set 1: | cost: 29.284 Data set 1: | cost: 54.578 Data set 1: | cost: 59.980 Data set 1: | cost: 36.543 Data set 1: | cost: 41.813 Data set 1: | cost: 37.080 Data set 1: | cost: 36.432 Data set 1: | cost: 34.581 Data set 1: | cost: 25.045 Data set 1: | cost: 21.535 Data set 1: | cost: 25.162 Data set 1: | cost: 30.034 Data set 1: | cost: 27.887 Data set 1: | cost: 27.962 Data set 1: | cost: 24.317 Data set 1: | cost: 25.919 Data set 1: | cost: 20.946 Data set 1: | cost: 24.334 DMC Parameters: amp:20.9 tau:145 drc:0.52 bnds:61 bndsRate:0.00 bndsSaturation:0 resMean:294 resSD:31 aaShape:2.1 spShape:3.1 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 382 76 2.10 338 60 0.0 incomp 433 98 8.30 374 69 0.0 Delta Values (Correct): 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 45.0% 50.0% 55.0% 60.0% 65.0% 70.0% 75.0% 80.0% 85.0% 90.0% 95.0% comp 286.4 305.3 316.2 325.0 333.5 340.0 347.4 354.7 361.0 367.6 374.1 381.5 391.6 400.4 413.6 431.0 451.0 477.9 523.3 incomp 306.5 322.3 337.6 353.1 365.0 375.7 385.0 394.3 405.7 417.4 428.0 439.8 454.9 466.0 481.2 501.7 521.6 560.4 618.2 mean 296.4 313.8 326.9 339.0 349.2 357.9 366.2 374.5 383.4 392.5 401.0 410.6 423.2 433.2 447.4 466.3 486.3 519.1 570.7 effect 20.1 17.0 21.4 28.1 31.5 35.7 37.6 39.6 44.7 49.7 53.9 58.2 63.3 65.6 67.6 70.7 70.5 82.6 94.9 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.945 0.995 0.980 0.985 0.990 incomp 0.830 0.885 0.935 0.950 0.985 Data set 1: | cost: 48.739 Data set 1: | cost: 55.051 Data set 1: | cost: 49.880 Data set 1: | cost: 43.481 Data set 1: | cost: 62.101 Data set 1: | cost: 70.617 Data set 1: | cost: 50.840 Data set 1: | cost: 56.381 Data set 1: | cost: 50.718 Data set 1: | cost: 38.757 Data set 1: | cost: 42.517 Data set 1: | cost: 35.401 Data set 1: | cost: 29.021 Data set 1: | cost: 30.813 Data set 1: | cost: 38.179 Data set 1: | cost: 34.648 Data set 1: | cost: 38.939 Data set 1: | cost: 30.621 Data set 1: | cost: 32.051 Data set 1: | cost: 34.828 Data set 1: | cost: 31.972 DMC Parameters: amp:20.9 tau:209 drc:0.52 bnds:61 bndsRate:0.00 bndsSaturation:0 resMean:289 resSD:31 aaShape:2.1 spShape:3.1 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 381 80 1.50 333 97 0.0 incomp 422 96 8.30 369 67 0.0 Delta Values (Correct): 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 45.0% 50.0% 55.0% 60.0% 65.0% 70.0% 75.0% 80.0% 85.0% 90.0% 95.0% comp 285.4 298.9 308.8 316.2 324.9 332.5 342.0 348.4 356.0 367.6 375.9 385.0 396.1 407.2 421.5 436.0 454.4 479.8 525.5 incomp 298.8 313.9 327.8 338.5 350.1 361.3 372.2 383.6 394.2 405.8 417.1 430.3 446.9 461.8 480.5 496.4 518.2 555.2 601.9 mean 292.1 306.4 318.3 327.3 337.5 346.9 357.1 366.0 375.1 386.7 396.5 407.7 421.5 434.5 451.0 466.2 486.3 517.5 563.7 effect 13.3 15.0 19.0 22.3 25.2 28.8 30.2 35.1 38.2 38.2 41.2 45.4 50.8 54.6 58.9 60.4 63.8 75.4 76.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.955 0.995 0.985 0.995 0.995 incomp 0.855 0.860 0.940 0.950 0.980 Data set 1: | cost: 0.094 Data set 1: | cost: 0.099 Data set 1: | cost: 0.121 Data set 1: | cost: 0.267 Data set 1: | cost: 0.440 Data set 1: | cost: 0.097 Data set 1: | cost: 0.108 Data set 1: | cost: 0.362 Data set 1: | cost: 0.169 Data set 1: | cost: 0.090 Data set 1: | cost: 0.250 Data set 1: | cost: 0.103 Data set 1: | cost: 0.070 Data set 1: | cost: 0.117 Data set 1: | cost: 0.089 Data set 1: | cost: 0.070 Data set 1: | cost: 0.118 Data set 1: | cost: 0.074 Data set 1: | cost: 0.067 Data set 1: | cost: 0.064 Data set 1: | cost: 0.077 DMC Parameters: amp:19.9 tau:40 drc:0.60 bnds:71 bndsRate:0.00 bndsSaturation:0 resMean:301 resSD:32 aaShape:2.5 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 391 83 0.90 440 172 0.0 incomp 431 79 5.80 347 44 0.0 Delta Values (Correct): 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 45.0% 50.0% 55.0% 60.0% 65.0% 70.0% 75.0% 80.0% 85.0% 90.0% 95.0% comp 289.9 305.8 318.7 328.0 334.4 342.0 349.5 358.2 366.1 373.2 382.1 390.7 402.0 413.4 425.3 440.8 464.4 494.2 560.3 incomp 323.2 343.2 356.9 367.4 378.1 385.6 393.6 400.9 408.0 416.8 428.3 439.8 447.6 460.9 474.2 490.0 506.2 531.9 581.1 mean 306.6 324.5 337.8 347.7 356.2 363.8 371.6 379.5 387.1 395.0 405.2 415.2 424.8 437.2 449.8 465.4 485.3 513.0 570.7 effect 33.3 37.4 38.3 39.4 43.7 43.6 44.1 42.7 41.8 43.5 46.2 49.2 45.6 47.4 48.9 49.2 41.8 37.7 20.8 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.985 1.000 0.995 0.995 0.980 incomp 0.810 0.930 0.985 0.990 0.995 terminate called after throwing an instance of 'std::out_of_range' what(): map::at DMC Parameters: amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 440 106 0.64 472 95 0.0 incomp 458 94 1.29 406 92 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.3 354.7 374.8 394.8 417.0 442.4 472.8 513.0 577.7 incomp 363.0 385.4 403.1 420.0 437.9 457.7 482.7 517.3 577.9 mean 347.2 370.1 388.9 407.4 427.4 450.0 477.7 515.2 577.8 effect 31.7 30.7 28.3 25.2 20.8 15.4 9.9 4.3 0.2 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.996 0.992 0.989 0.992 incomp 0.966 0.991 0.992 0.993 0.993 DMC Parameters: amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 440 105 0.67 468 83 0.0 incomp 459 95 1.28 411 99 0.0 Delta Values (Correct): 10.0% 30.0% 50.0% 70.0% 90.0% comp 331.6 374.9 416.8 472.1 577.4 incomp 363.8 403.5 438.5 483.8 579.6 mean 347.7 389.2 427.6 478.0 578.5 effect 32.2 28.7 21.6 11.8 2.1 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.995 0.991 0.991 0.991 incomp 0.968 0.989 0.993 0.994 0.993 DMC Parameters: amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 440 105 0.67 479 103 0.0 incomp 458 95 1.34 406 103 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.4 354.5 374.3 394.4 416.9 442.2 472.4 513.0 577.4 incomp 363.9 386.0 403.6 420.5 438.2 458.5 483.5 518.6 578.4 mean 347.6 370.2 389.0 407.5 427.5 450.3 478.0 515.8 577.9 effect 32.5 31.4 29.3 26.1 21.3 16.3 11.0 5.6 1.0 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.996 0.992 0.990 0.990 incomp 0.965 0.988 0.993 0.994 0.993 Data set 1: | cost: 46.331 Data set 1: | cost: 42.514 Data set 1: | cost: 40.051 Data set 1: | cost: 33.260 Data set 1: | cost: 53.729 Data set 1: | cost: 61.090 Data set 1: | cost: 40.875 Data set 1: | cost: 39.401 Data set 1: | cost: 42.708 Data set 1: | cost: 31.851 Data set 1: | cost: 40.995 Data set 1: | cost: 28.199 Data set 1: | cost: 28.014 Data set 1: | cost: 27.959 Data set 1: | cost: 26.839 Data set 1: | cost: 25.716 Data set 1: | cost: 29.980 Data set 1: | cost: 33.268 Data set 1: | cost: 29.924 Data set 1: | cost: 28.161 Data set 1: | cost: 26.752 Data set 1: | cost: 32.419 Data set 1: | cost: 24.906 Data set 1: | cost: 31.820 Data set 1: | cost: 31.183 Data set 1: | cost: 35.044 Data set 1: | cost: 22.119 Data set 1: | cost: 20.062 Data set 1: | cost: 17.294 Data set 1: | cost: 28.156 Data set 1: | cost: 18.656 Data set 1: | cost: 22.428 Data set 1: | cost: 21.092 Data set 1: | cost: 30.391 Data set 1: | cost: 23.982 Data set 1: | cost: 21.197 Data set 1: | cost: 28.636 Data set 1: | cost: 18.723 Data set 1: | cost: 21.572 Data set 1: | cost: 19.158 Data set 1: | cost: 17.540 Data set 1: | cost: 17.731 Data set 1: | cost: 17.033 Data set 1: | cost: 18.646 Data set 1: | cost: 17.290 Data set 1: | cost: 19.045 Data set 1: | cost: 18.228 Data set 1: | cost: 18.709 Data set 1: | cost: 17.163 Data set 1: | cost: 13.599 Data set 1: | cost: 13.085 Data set 1: | cost: 17.024 Data set 1: | cost: 15.737 Data set 1: | cost: 16.089 Data set 1: | cost: 16.995 Data set 1: | cost: 11.532 Data set 1: | cost: 17.464 Data set 1: | cost: 15.366 Data set 1: | cost: 15.988 Data set 1: | cost: 18.839 Data set 1: | cost: 15.942 Data set 1: | cost: 18.486 Data set 1: | cost: 12.916 Data set 1: | cost: 13.226 Data set 1: | cost: 14.811 Data set 1: | cost: 13.917 Data set 1: | cost: 15.469 Data set 1: | cost: 13.505 Data set 1: | cost: 15.392 Data set 1: | cost: 15.464 Data set 1: | cost: 7.198 Data set 1: | cost: 14.441 Data set 1: | cost: 20.346 Data set 1: | cost: 17.213 Data set 1: | cost: 10.513 Data set 1: | cost: 17.715 Data set 1: | cost: 16.193 Data set 1: | cost: 14.202 Data set 1: | cost: 19.096 Data set 1: | cost: 17.622 Data set 1: | cost: 13.469 Data set 1: | cost: 16.878 Data set 1: | cost: 13.334 Data set 1: | cost: 20.535 Data set 1: | cost: 18.986 Data set 1: | cost: 13.534 Data set 1: | cost: 11.617 Data set 1: | cost: 14.037 Data set 1: | cost: 11.215 Data set 1: | cost: 15.097 Data set 1: | cost: 17.580 Data set 1: | cost: 17.169 Data set 1: | cost: 19.190 Data set 1: | cost: 18.177 Data set 1: | cost: 13.181 Data set 1: | cost: 19.428 Data set 1: | cost: 18.309 Data set 1: | cost: 12.872 Data set 1: | cost: 14.180 Data set 1: | cost: 15.430 Data set 1: | cost: 12.520 Data set 1: | cost: 13.929 Data set 1: | cost: 15.138 Data set 1: | cost: 10.501 Data set 1: | cost: 12.289 Data set 1: | cost: 17.859 Data set 1: | cost: 13.557 Data set 1: | cost: 15.137 Data set 1: | cost: 13.625 Data set 1: | cost: 13.319 Data set 1: | cost: 14.636 Data set 1: | cost: 11.892 Data set 1: | cost: 16.798 Data set 1: | cost: 16.501 Data set 1: | cost: 12.549 Data set 1: | cost: 10.811 Data set 1: | cost: 10.753 Data set 1: | cost: 13.177 Data set 1: | cost: 16.336 Data set 1: | cost: 18.971 Data set 1: | cost: 16.342 Data set 1: | cost: 12.768 Data set 1: | cost: 14.604 Data set 1: | cost: 12.792 Data set 1: | cost: 12.106 Data set 1: | cost: 15.356 Data set 1: | cost: 12.400 Data set 1: | cost: 10.299 Data set 1: | cost: 12.316 Data set 1: | cost: 11.662 Data set 1: | cost: 11.038 Data set 1: | cost: 11.735 Data set 1: | cost: 14.366 Data set 1: | cost: 14.913 Data set 1: | cost: 12.584 Data set 1: | cost: 11.882 Data set 1: | cost: 13.407 Data set 1: | cost: 17.882 Data set 1: | cost: 15.937 Data set 1: | cost: 17.132 Data set 1: | cost: 11.113 Data set 1: | cost: 13.119 Data set 1: | cost: 16.306 Data set 1: | cost: 19.139 Data set 1: | cost: 15.292 Data set 1: | cost: 10.640 Data set 1: | cost: 18.072 Data set 1: | cost: 15.325 Data set 1: | cost: 14.104 Data set 1: | cost: 16.536 Data set 1: | cost: 12.340 Data set 1: | cost: 15.811 Data set 1: | cost: 16.821 Data set 1: | cost: 13.994 Data set 1: | cost: 15.936 Data set 1: | cost: 15.589 Data set 1: | cost: 12.569 Data set 1: | cost: 14.508 Data set 1: | cost: 11.306 Data set 1: | cost: 12.077 Data set 1: | cost: 14.955 Data set 1: | cost: 11.415 Data set 1: | cost: 14.620 Data set 1: | cost: 12.190 Data set 1: | cost: 12.361 Data set 1: | cost: 11.395 Data set 1: | cost: 14.092 Data set 1: | cost: 12.780 Data set 1: | cost: 13.330 Data set 1: | cost: 11.617 Data set 1: | cost: 12.826 Data set 1: | cost: 13.263 Data set 1: | cost: 14.099 Data set 1: | cost: 12.446 Data set 1: | cost: 15.075 Data set 1: | cost: 15.804 Data set 1: | cost: 15.401 Data set 1: | cost: 12.447 Data set 1: | cost: 16.911 Data set 1: | cost: 13.707 Data set 1: | cost: 12.306 Data set 1: | cost: 17.687 Data set 1: | cost: 16.657 Data set 1: | cost: 22.138 Data set 1: | cost: 15.363 Data set 1: | cost: 16.138 Data set 1: | cost: 20.472 Data set 1: | cost: 10.871 Data set 1: | cost: 15.230 Data set 1: | cost: 14.661 Data set 1: | cost: 11.376 Data set 1: | cost: 12.607 Data set 1: | cost: 9.178 Data set 1: | cost: 12.240 Data set 1: | cost: 13.788 Data set 1: | cost: 14.666 Data set 1: | cost: 13.419 Data set 1: | cost: 16.055 Data set 1: | cost: 16.316 Data set 1: | cost: 11.086 Data set 1: | cost: 15.415 Data set 1: | cost: 12.749 Data set 1: | cost: 11.284 Data set 1: | cost: 15.746 Data set 1: | cost: 13.576 Data set 1: | cost: 13.137 Data set 1: | cost: 13.066 Data set 1: | cost: 16.046 Data set 1: | cost: 16.360 Data set 1: | cost: 12.792 Data set 1: | cost: 12.740 Data set 1: | cost: 13.639 Data set 1: | cost: 15.237 Data set 1: | cost: 15.128 Data set 1: | cost: 16.713 Data set 1: | cost: 11.949 Data set 1: | cost: 15.607 Data set 1: | cost: 15.197 Data set 1: | cost: 9.887 Data set 1: | cost: 12.311 Data set 1: | cost: 15.653 Data set 1: | cost: 11.701 Data set 1: | cost: 13.129 Data set 1: | cost: 15.803 Data set 1: | cost: 14.391 Data set 1: | cost: 17.287 Data set 1: | cost: 10.613 Data set 1: | cost: 11.790 Data set 1: | cost: 11.785 Data set 1: | cost: 17.843 Data set 1: | cost: 15.772 Data set 1: | cost: 12.950 Data set 1: | cost: 17.034 Data set 1: | cost: 10.992 Data set 1: | cost: 11.577 Data set 1: | cost: 15.772 Data set 1: | cost: 15.197 Data set 1: | cost: 10.785 Data set 1: | cost: 15.098 Data set 1: | cost: 15.942 Data set 1: | cost: 15.311 Data set 1: | cost: 13.338 Data set 1: | cost: 15.852 Data set 1: | cost: 12.351 Data set 1: | cost: 11.838 Data set 1: | cost: 9.376 Data set 1: | cost: 16.169 Data set 1: | cost: 11.388 Data set 1: | cost: 15.795 Data set 1: | cost: 12.455 Data set 1: | cost: 13.684 Data set 1: | cost: 18.662 Data set 1: | cost: 12.380 Data set 1: | cost: 15.154 Data set 1: | cost: 14.077 Data set 1: | cost: 11.876 Data set 1: | cost: 12.059 Data set 1: | cost: 11.941 Data set 1: | cost: 14.842 Data set 1: | cost: 17.492 Data set 1: | cost: 12.963 Data set 1: | cost: 13.481 Data set 1: | cost: 13.346 Data set 1: | cost: 11.678 Data set 1: | cost: 14.874 Data set 1: | cost: 11.665 Data set 1: | cost: 18.405 Data set 1: | cost: 15.261 Data set 1: | cost: 16.628 Data set 1: | cost: 14.679 Data set 1: | cost: 13.524 Data set 1: | cost: 12.769 Data set 1: | cost: 11.196 Data set 1: | cost: 16.912 Data set 1: | cost: 18.120 Data set 1: | cost: 13.808 Data set 1: | cost: 15.181 Data set 1: | cost: 13.586 Data set 1: | cost: 18.716 Data set 1: | cost: 14.356 Data set 1: | cost: 13.065 Data set 1: | cost: 9.982 Data set 1: | cost: 12.430 Data set 1: | cost: 12.670 Data set 1: | cost: 12.989 Data set 1: | cost: 14.993 Data set 1: | cost: 14.390 Data set 1: | cost: 16.782 Data set 1: | cost: 13.744 Data set 1: | cost: 14.232 Data set 1: | cost: 12.968 Data set 1: | cost: 15.884 Data set 1: | cost: 14.095 Data set 1: | cost: 11.152 Data set 1: | cost: 12.518 Data set 1: | cost: 14.475 Data set 1: | cost: 15.297 Data set 1: | cost: 16.317 Data set 1: | cost: 12.831 Data set 1: | cost: 13.527 Data set 1: | cost: 12.927 Data set 1: | cost: 7.790 Data set 1: | cost: 12.760 Data set 1: | cost: 14.672 Data set 1: | cost: 14.457 Data set 1: | cost: 13.540 Data set 1: | cost: 12.110 Data set 1: | cost: 13.439 Data set 1: | cost: 14.036 Data set 1: | cost: 12.886 Data set 1: | cost: 14.105 Data set 1: | cost: 14.202 Data set 1: | cost: 14.998 Data set 1: | cost: 14.628 Data set 1: | cost: 8.901 Data set 1: | cost: 15.880 Data set 1: | cost: 15.861 Data set 1: | cost: 11.731 Data set 1: | cost: 12.240 Data set 1: | cost: 14.604 Data set 1: | cost: 10.492 Data set 1: | cost: 14.985 Data set 1: | cost: 14.424 Data set 1: | cost: 15.655 Data set 1: | cost: 14.333 Data set 1: | cost: 12.357 Data set 1: | cost: 13.948 Data set 1: | cost: 12.885 Data set 1: | cost: 15.128 Data set 1: | cost: 11.690 Data set 1: | cost: 11.670 Data set 1: | cost: 13.922 Data set 1: | cost: 12.566 Data set 1: | cost: 15.876 Data set 1: | cost: 10.929 Data set 1: | cost: 17.315 Data set 1: | cost: 15.035 Data set 1: | cost: 14.463 Data set 1: | cost: 10.789 Data set 1: | cost: 16.930 Data set 1: | cost: 12.126 Data set 1: | cost: 13.490 Data set 1: | cost: 21.203 Data set 1: | cost: 10.552 Data set 1: | cost: 14.614 Data set 1: | cost: 14.460 Data set 1: | cost: 14.431 Data set 1: | cost: 8.915 Data set 1: | cost: 16.511 Data set 1: | cost: 13.643 Data set 1: | cost: 19.698 Data set 1: | cost: 13.541 Data set 1: | cost: 17.582 Data set 1: | cost: 13.347 Data set 1: | cost: 17.525 Data set 1: | cost: 12.269 Data set 1: | cost: 8.286 Data set 1: | cost: 15.478 Data set 1: | cost: 13.809 Data set 1: | cost: 17.063 Data set 1: | cost: 15.441 Data set 1: | cost: 16.679 Data set 1: | cost: 14.437 Data set 1: | cost: 14.447 Data set 1: | cost: 13.799 Data set 1: | cost: 13.866 Data set 1: | cost: 17.522 Data set 1: | cost: 19.483 Data set 1: | cost: 14.533 Data set 1: | cost: 17.060 Data set 1: | cost: 14.021 Data set 1: | cost: 12.937 Data set 1: | cost: 11.398 Data set 1: | cost: 16.113 Data set 1: | cost: 16.510 Data set 1: | cost: 14.369 Data set 1: | cost: 16.272 Data set 1: | cost: 14.569 Data set 1: | cost: 13.434 Data set 1: | cost: 14.030 Data set 1: | cost: 13.417 Data set 1: | cost: 14.730 Data set 1: | cost: 12.334 Data set 1: | cost: 14.030 Data set 1: | cost: 14.334 Data set 1: | cost: 14.728 Data set 1: | cost: 12.964 Data set 1: | cost: 15.109 Data set 1: | cost: 18.957 Data set 1: | cost: 13.876 Data set 1: | cost: 14.631 Data set 1: | cost: 12.130 Data set 1: | cost: 14.370 Data set 1: | cost: 11.922 Data set 1: | cost: 14.252 Data set 1: | cost: 14.462 Data set 1: | cost: 11.484 Data set 1: | cost: 19.406 Data set 1: | cost: 15.898 Data set 1: | cost: 16.851 Data set 1: | cost: 18.284 Data set 1: | cost: 13.822 Data set 1: | cost: 15.861 Data set 1: | cost: 15.215 Data set 1: | cost: 12.180 Data set 1: | cost: 12.634 Data set 1: | cost: 13.879 Data set 1: | cost: 15.450 Data set 1: | cost: 13.953 Data set 1: | cost: 11.738 Data set 1: | cost: 11.333 Data set 1: | cost: 17.467 Data set 1: | cost: 15.640 Data set 1: | cost: 16.346 Data set 1: | cost: 14.080 Data set 1: | cost: 17.480 Data set 1: | cost: 10.714 Data set 1: | cost: 12.457 Data set 1: | cost: 18.069 Data set 1: | cost: 12.002 Data set 1: | cost: 15.748 Data set 1: | cost: 16.608 Data set 1: | cost: 16.242 Data set 1: | cost: 13.580 Data set 1: | cost: 17.855 Data set 1: | cost: 11.967 Data set 1: | cost: 12.096 Data set 1: | cost: 14.286 Data set 1: | cost: 10.366 Data set 1: | cost: 16.635 Data set 1: | cost: 18.403 Data set 1: | cost: 16.821 Data set 1: | cost: 12.746 Data set 1: | cost: 15.914 Data set 1: | cost: 18.017 Data set 1: | cost: 12.570 Data set 1: | cost: 12.779 Data set 1: | cost: 13.241 Data set 1: | cost: 14.763 Data set 1: | cost: 14.200 Data set 1: | cost: 14.346 Data set 1: | cost: 16.168 Data set 1: | cost: 13.132 Data set 1: | cost: 17.220 Data set 1: | cost: 15.640 Data set 1: | cost: 18.580 Data set 1: | cost: 11.840 Data set 1: | cost: 14.494 Data set 1: | cost: 13.956 Data set 1: | cost: 13.252 Data set 1: | cost: 15.692 Data set 1: | cost: 12.946 Data set 1: | cost: 17.688 Data set 1: | cost: 17.008 Data set 1: | cost: 15.894 Data set 1: | cost: 19.012 Data set 1: | cost: 15.351 Data set 1: | cost: 13.995 Data set 1: | cost: 14.000 Data set 1: | cost: 10.901 Data set 1: | cost: 10.497 Data set 1: | cost: 16.352 Data set 1: | cost: 12.659 Data set 1: | cost: 12.967 Data set 1: | cost: 15.484 Data set 1: | cost: 16.084 Data set 1: | cost: 13.119 Data set 1: | cost: 17.735 Data set 1: | cost: 13.170 Data set 1: | cost: 8.647 Data set 1: | cost: 14.173 Data set 1: | cost: 14.148 Data set 1: | cost: 11.645 Data set 1: | cost: 15.107 Data set 1: | cost: 14.683 Data set 1: | cost: 13.585 Data set 1: | cost: 16.963 Data set 1: | cost: 15.543 Data set 1: | cost: 15.086 Data set 1: | cost: 11.230 Data set 1: | cost: 13.509 Data set 1: | cost: 15.263 Data set 1: | cost: 11.728 Data set 1: | cost: 16.191 Data set 1: | cost: 11.971 Data set 1: | cost: 12.754 Data set 1: | cost: 12.452 Data set 1: | cost: 16.879 Data set 1: | cost: 12.058 Data set 1: | cost: 15.897 Data set 1: | cost: 12.567 Data set 1: | cost: 15.544 Data set 1: | cost: 13.951 Data set 1: | cost: 14.663 Data set 1: | cost: 12.335 Data set 1: | cost: 11.670 Data set 1: | cost: 15.956 Data set 1: | cost: 13.704 Data set 1: | cost: 13.486 Data set 1: | cost: 12.433 Data set 1: | cost: 14.963 Data set 1: | cost: 9.952 Data set 1: | cost: 15.757 DMC Parameters: amp:20.3 tau:184 drc:0.58 bnds:54 bndsRate:0.00 bndsSaturation:0 resMean:327 resSD:32 aaShape:2.2 spShape:2.9 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 401 61 1.80 365 48 0.0 incomp 433 79 8.60 394 59 0.0 Delta Values (Correct): 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 45.0% 50.0% 55.0% 60.0% 65.0% 70.0% 75.0% 80.0% 85.0% 90.0% 95.0% comp 317.6 334.9 342.1 350.3 357.5 365.6 373.3 380.1 386.8 391.7 399.0 407.4 414.9 423.4 434.3 444.8 458.8 478.8 504.5 incomp 327.3 346.9 358.2 371.1 379.9 387.0 393.9 402.7 411.3 419.9 429.6 442.7 451.3 461.3 475.2 490.0 512.6 531.2 579.0 mean 322.5 340.9 350.2 360.7 368.7 376.3 383.6 391.4 399.0 405.8 414.3 425.1 433.1 442.4 454.7 467.4 485.7 505.0 541.8 effect 9.7 12.0 16.1 20.8 22.4 21.4 20.6 22.6 24.5 28.2 30.6 35.3 36.4 37.9 40.9 45.1 53.8 52.4 74.6 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.970 0.970 0.980 1.000 0.990 incomp 0.845 0.915 0.895 0.940 0.975 Data set 1: | cost: 47.384 Data set 1: | cost: 46.156 Data set 1: | cost: 44.498 Data set 1: | cost: 38.330 Data set 1: | cost: 59.308 Data set 1: | cost: 62.938 Data set 1: | cost: 48.080 Data set 1: | cost: 45.411 Data set 1: | cost: 49.082 Data set 1: | cost: 36.332 Data set 1: | cost: 41.585 Data set 1: | cost: 29.921 Data set 1: | cost: 29.893 Data set 1: | cost: 33.490 Data set 1: | cost: 36.893 Data set 1: | cost: 28.417 Data set 1: | cost: 25.226 Data set 1: | cost: 26.927 Data set 1: | cost: 29.768 Data set 1: | cost: 29.456 Data set 1: | cost: 25.234 Data set 1: | cost: 31.611 Data set 1: | cost: 27.297 Data set 1: | cost: 33.824 Data set 1: | cost: 26.214 Data set 1: | cost: 35.840 Data set 1: | cost: 28.161 Data set 1: | cost: 28.244 Data set 1: | cost: 26.674 Data set 1: | cost: 32.077 Data set 1: | cost: 28.947 Data set 1: | cost: 31.303 Data set 1: | cost: 27.279 Data set 1: | cost: 23.432 Data set 1: | cost: 28.123 Data set 1: | cost: 24.399 Data set 1: | cost: 25.297 Data set 1: | cost: 22.586 Data set 1: | cost: 29.164 Data set 1: | cost: 25.207 Data set 1: | cost: 25.433 Data set 1: | cost: 23.984 Data set 1: | cost: 26.883 Data set 1: | cost: 33.225 Data set 1: | cost: 24.170 Data set 1: | cost: 26.974 Data set 1: | cost: 24.341 Data set 1: | cost: 26.258 Data set 1: | cost: 27.711 Data set 1: | cost: 28.327 Data set 1: | cost: 24.590 Data set 1: | cost: 30.477 Data set 1: | cost: 29.458 Data set 1: | cost: 27.417 Data set 1: | cost: 25.910 Data set 1: | cost: 28.150 Data set 1: | cost: 25.437 Data set 1: | cost: 23.083 Data set 1: | cost: 24.567 Data set 1: | cost: 29.014 Data set 1: | cost: 22.991 Data set 1: | cost: 28.246 Data set 1: | cost: 24.778 Data set 1: | cost: 31.450 Data set 1: | cost: 30.632 Data set 1: | cost: 24.797 Data set 1: | cost: 26.380 Data set 1: | cost: 24.569 Data set 1: | cost: 26.196 Data set 1: | cost: 23.879 Data set 1: | cost: 28.782 Data set 1: | cost: 27.140 Data set 1: | cost: 23.514 Data set 1: | cost: 30.561 Data set 1: | cost: 28.434 Data set 1: | cost: 27.143 Data set 1: | cost: 26.753 Data set 1: | cost: 24.249 Data set 1: | cost: 26.152 Data set 1: | cost: 25.785 Data set 1: | cost: 31.988 Data set 1: | cost: 27.243 Data set 1: | cost: 26.526 Data set 1: | cost: 25.626 Data set 1: | cost: 22.876 Data set 1: | cost: 28.321 Data set 1: | cost: 28.901 Data set 1: | cost: 28.003 Data set 1: | cost: 25.689 Data set 1: | cost: 25.324 Data set 1: | cost: 23.324 Data set 1: | cost: 24.449 Data set 1: | cost: 25.891 Data set 1: | cost: 31.008 Data set 1: | cost: 28.849 Data set 1: | cost: 26.745 Data set 1: | cost: 25.188 Data set 1: | cost: 29.765 Data set 1: | cost: 26.213 Data set 1: | cost: 30.030 Data set 1: | cost: 24.470 Data set 1: | cost: 31.512 Data set 1: | cost: 25.026 Data set 1: | cost: 30.069 Data set 1: | cost: 25.636 Data set 1: | cost: 25.047 Data set 1: | cost: 25.353 Data set 1: | cost: 24.688 Data set 1: | cost: 23.882 Data set 1: | cost: 28.079 Data set 1: | cost: 28.455 Data set 1: | cost: 26.656 Data set 1: | cost: 24.994 Data set 1: | cost: 26.423 Data set 1: | cost: 26.540 Data set 1: | cost: 28.710 Data set 1: | cost: 27.160 Data set 1: | cost: 28.119 Data set 1: | cost: 27.054 Data set 1: | cost: 27.265 Data set 1: | cost: 26.331 Data set 1: | cost: 29.127 Data set 1: | cost: 23.891 Data set 1: | cost: 26.503 Data set 1: | cost: 27.524 Data set 1: | cost: 22.344 Data set 1: | cost: 31.374 Data set 1: | cost: 25.741 Data set 1: | cost: 24.121 Data set 1: | cost: 27.747 Data set 1: | cost: 25.348 Data set 1: | cost: 26.280 Data set 1: | cost: 27.521 Data set 1: | cost: 26.848 Data set 1: | cost: 24.995 Data set 1: | cost: 25.242 Data set 1: | cost: 30.685 Data set 1: | cost: 24.487 Data set 1: | cost: 25.792 Data set 1: | cost: 23.925 Data set 1: | cost: 30.790 Data set 1: | cost: 27.220 Data set 1: | cost: 25.890 Data set 1: | cost: 24.098 Data set 1: | cost: 24.420 Data set 1: | cost: 26.717 Data set 1: | cost: 25.618 Data set 1: | cost: 24.648 Data set 1: | cost: 26.645 Data set 1: | cost: 22.303 Data set 1: | cost: 26.174 Data set 1: | cost: 26.139 Data set 1: | cost: 29.416 Data set 1: | cost: 26.213 Data set 1: | cost: 27.701 Data set 1: | cost: 27.113 Data set 1: | cost: 29.093 Data set 1: | cost: 26.725 Data set 1: | cost: 28.313 Data set 1: | cost: 25.133 Data set 1: | cost: 25.048 Data set 1: | cost: 27.759 Data set 1: | cost: 24.263 Data set 1: | cost: 25.458 Data set 1: | cost: 26.917 Data set 1: | cost: 24.300 Data set 1: | cost: 26.693 Data set 1: | cost: 26.276 Data set 1: | cost: 23.777 Data set 1: | cost: 24.189 Data set 1: | cost: 27.290 Data set 1: | cost: 27.174 Data set 1: | cost: 26.130 Data set 1: | cost: 30.791 Data set 1: | cost: 23.935 Data set 1: | cost: 26.582 Data set 1: | cost: 29.046 Data set 1: | cost: 27.086 Data set 1: | cost: 26.420 Data set 1: | cost: 25.764 Data set 1: | cost: 24.431 Data set 1: | cost: 25.736 Data set 1: | cost: 26.350 Data set 1: | cost: 25.223 Data set 1: | cost: 27.048 Data set 1: | cost: 26.923 Data set 1: | cost: 25.440 Data set 1: | cost: 29.092 Data set 1: | cost: 29.327 Data set 1: | cost: 28.833 Data set 1: | cost: 26.153 Data set 1: | cost: 23.266 Data set 1: | cost: 29.212 Data set 1: | cost: 26.876 Data set 1: | cost: 25.458 Data set 1: | cost: 25.754 Data set 1: | cost: 26.816 Data set 1: | cost: 27.467 Data set 1: | cost: 31.060 Data set 1: | cost: 23.081 Data set 1: | cost: 27.039 Data set 1: | cost: 28.779 Data set 1: | cost: 29.511 Data set 1: | cost: 25.676 Data set 1: | cost: 26.406 Data set 1: | cost: 27.709 Data set 1: | cost: 25.223 Data set 1: | cost: 24.681 Data set 1: | cost: 27.481 Data set 1: | cost: 26.218 Data set 1: | cost: 27.055 Data set 1: | cost: 28.614 Data set 1: | cost: 31.597 Data set 1: | cost: 28.372 Data set 1: | cost: 27.664 Data set 1: | cost: 35.119 Data set 1: | cost: 24.346 Data set 1: | cost: 27.457 Data set 1: | cost: 22.487 Data set 1: | cost: 26.452 Data set 1: | cost: 26.098 Data set 1: | cost: 26.442 Data set 1: | cost: 27.025 Data set 1: | cost: 26.611 Data set 1: | cost: 29.339 Data set 1: | cost: 27.283 Data set 1: | cost: 27.251 Data set 1: | cost: 26.630 Data set 1: | cost: 26.649 Data set 1: | cost: 22.865 Data set 1: | cost: 26.504 Data set 1: | cost: 25.982 Data set 1: | cost: 28.060 Data set 1: | cost: 28.454 Data set 1: | cost: 26.606 Data set 1: | cost: 26.927 Data set 1: | cost: 24.184 Data set 1: | cost: 25.537 Data set 1: | cost: 25.176 Data set 1: | cost: 28.693 Data set 1: | cost: 27.938 Data set 1: | cost: 28.567 Data set 1: | cost: 27.730 Data set 1: | cost: 27.143 Data set 1: | cost: 26.590 Data set 1: | cost: 26.045 Data set 1: | cost: 29.708 Data set 1: | cost: 23.981 Data set 1: | cost: 26.800 Data set 1: | cost: 25.708 Data set 1: | cost: 25.996 Data set 1: | cost: 24.315 Data set 1: | cost: 21.193 Data set 1: | cost: 24.337 Data set 1: | cost: 28.425 Data set 1: | cost: 25.705 Data set 1: | cost: 26.546 Data set 1: | cost: 25.114 Data set 1: | cost: 28.399 Data set 1: | cost: 27.857 Data set 1: | cost: 27.682 Data set 1: | cost: 25.246 Data set 1: | cost: 27.654 Data set 1: | cost: 28.202 Data set 1: | cost: 29.491 Data set 1: | cost: 27.851 Data set 1: | cost: 27.222 Data set 1: | cost: 25.061 Data set 1: | cost: 26.875 Data set 1: | cost: 23.488 Data set 1: | cost: 24.929 Data set 1: | cost: 30.568 Data set 1: | cost: 28.039 Data set 1: | cost: 24.908 Data set 1: | cost: 28.680 Data set 1: | cost: 24.694 Data set 1: | cost: 26.311 Data set 1: | cost: 25.512 Data set 1: | cost: 25.515 Data set 1: | cost: 25.757 Data set 1: | cost: 26.774 Data set 1: | cost: 27.289 Data set 1: | cost: 28.175 Data set 1: | cost: 26.897 Data set 1: | cost: 25.811 Data set 1: | cost: 21.854 Data set 1: | cost: 25.843 Data set 1: | cost: 28.597 Data set 1: | cost: 33.869 Data set 1: | cost: 29.620 Data set 1: | cost: 28.163 Data set 1: | cost: 28.039 Data set 1: | cost: 25.324 Data set 1: | cost: 27.067 Data set 1: | cost: 28.415 Data set 1: | cost: 29.093 Data set 1: | cost: 29.424 Data set 1: | cost: 26.311 Data set 1: | cost: 23.934 Data set 1: | cost: 28.812 Data set 1: | cost: 26.130 Data set 1: | cost: 24.963 Data set 1: | cost: 24.482 Data set 1: | cost: 31.238 Data set 1: | cost: 26.383 Data set 1: | cost: 25.974 Data set 1: | cost: 25.780 Data set 1: | cost: 27.234 Data set 1: | cost: 27.708 Data set 1: | cost: 27.544 Data set 1: | cost: 25.119 Data set 1: | cost: 28.627 Data set 1: | cost: 25.013 Data set 1: | cost: 28.886 Data set 1: | cost: 30.130 Data set 1: | cost: 29.047 Data set 1: | cost: 29.343 Data set 1: | cost: 23.765 Data set 1: | cost: 28.218 Data set 1: | cost: 26.838 Data set 1: | cost: 26.438 Data set 1: | cost: 27.127 Data set 1: | cost: 25.822 Data set 1: | cost: 26.800 Data set 1: | cost: 25.565 Data set 1: | cost: 26.458 Data set 1: | cost: 27.638 Data set 1: | cost: 28.124 Data set 1:terminate called after throwing an instance of 'std::out_of_range' what(): map::at Aborted Flavor: r-patched-linux-x86_64

Version: 3.5.2
Check: tests
Result: ERROR Running ‘testthat.R’ [7s/9s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > test_check("DMCfun") Loading required package: DMCfun DMC Parameters: amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 439 105 0.65 474 98 0.0 incomp 459 95 1.28 406 89 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.7 354.7 374.3 394.3 416.1 441.4 471.7 511.4 576.8 incomp 363.2 385.8 403.9 420.7 438.5 458.8 483.7 519.2 580.0 mean 347.4 370.3 389.1 407.5 427.3 450.1 477.7 515.3 578.4 effect 31.6 31.2 29.6 26.4 22.4 17.5 12.0 7.8 3.2 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.996 0.992 0.990 0.991 incomp 0.967 0.990 0.993 0.994 0.993 DMC Parameters: amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 440 105 0.62 470 93 0.0 incomp 459 95 1.22 409 91 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.9 355.3 375.1 395.3 417.5 442.5 472.8 512.8 578.0 incomp 363.8 385.8 403.8 420.7 438.4 458.5 483.5 518.6 579.0 mean 347.9 370.5 389.4 408.0 427.9 450.5 478.2 515.7 578.5 effect 31.9 30.5 28.6 25.5 20.9 16.0 10.8 5.8 1.0 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.996 0.991 0.991 0.992 incomp 0.970 0.991 0.992 0.994 0.992 DMC Parameters: amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 440 105 0.69 475 100 0.0 incomp 458 95 1.32 407 96 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.9 355.2 374.8 395.0 416.7 442.3 472.6 512.9 577.9 incomp 363.3 385.3 403.1 420.4 438.2 458.4 483.3 518.2 577.6 mean 347.6 370.3 389.0 407.7 427.5 450.4 477.9 515.6 577.7 effect 31.4 30.1 28.3 25.4 21.5 16.1 10.7 5.4 -0.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.995 0.992 0.991 0.990 incomp 0.966 0.989 0.993 0.994 0.993 DMC Parameters: amp:20.0 tau:150 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 421 90 0.28 497 123 0.0 incomp 483 103 2.21 423 82 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 335.2 355.0 370.8 385.7 401.1 418.4 440.5 472.3 529.9 incomp 371.7 398.7 421.5 443.0 465.5 490.2 519.5 557.5 617.3 mean 353.4 376.9 396.1 414.3 433.3 454.3 480.0 514.9 573.6 effect 36.4 43.7 50.7 57.2 64.4 71.7 79.0 85.2 87.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.999 0.999 0.997 0.993 incomp 0.951 0.974 0.983 0.989 0.993 Data set 1: | cost: 39.026 Data set 1: | cost: 38.932 Data set 1: | cost: 43.824 Data set 1: | cost: 36.122 Data set 1: | cost: 55.260 Data set 1: | cost: 66.967 Data set 1: | cost: 37.430 Data set 1: | cost: 42.410 Data set 1: | cost: 42.978 Data set 1: | cost: 33.113 Data set 1: | cost: 45.852 Data set 1: | cost: 27.790 Data set 1: | cost: 42.525 Data set 1: | cost: 34.422 Data set 1: | cost: 33.050 Data set 1: | cost: 30.458 Data set 1: | cost: 33.667 Data set 1: | cost: 31.577 Data set 1: | cost: 34.836 Data set 1: | cost: 37.798 Data set 1:terminate called after throwing an instance of 'std::out_of_range' what(): map::at Aborted Flavor: r-release-linux-x86_64

Version: 3.5.2
Check: tests
Result: ERROR Running ‘testthat.R’ [20s/21s] Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output: 28: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { }) 29: test_code(test = NULL, code = exprs, env = env, default_reporter = StopReporter$new()) 30: source_file(path, env = env(env), desc = desc, error_call = error_call) 31: FUN(X[[i]], ...) 32: lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call) 33: doTryCatch(return(expr), name, parentenv, handler) 34: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 35: tryCatchList(expr, classes, parentenv, handlers) 36: tryCatch(code, testthat_abort_reporter = function(cnd) { cat(conditionMessage(cnd), "\n") NULL}) 37: with_reporter(reporters$multi, lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call)) 38: test_files_serial(test_dir = test_dir, test_package = test_package, test_paths = test_paths, load_helpers = load_helpers, reporter = reporter, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, desc = desc, load_package = load_package, error_call = error_call) 39: test_files(test_dir = path, test_paths = test_paths, test_package = package, reporter = reporter, load_helpers = load_helpers, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, load_package = load_package, parallel = parallel) 40: test_dir("testthat", package = package, reporter = reporter, ..., load_package = "installed") 41: test_check("DMCfun") An irrecoverable exception occurred. R is aborting now ... Flavor: r-release-macos-arm64

Version: 3.5.2
Check: tests
Result: ERROR Running ‘testthat.R’ [27s/35s] Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output: 29: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { }) 30: test_code(test = NULL, code = exprs, env = env, default_reporter = StopReporter$new()) 31: source_file(path, env = env(env), desc = desc, error_call = error_call) 32: FUN(X[[i]], ...) 33: lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call) 34: doTryCatch(return(expr), name, parentenv, handler) 35: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 36: tryCatchList(expr, classes, parentenv, handlers) 37: tryCatch(code, testthat_abort_reporter = function(cnd) { cat(conditionMessage(cnd), "\n") NULL}) 38: with_reporter(reporters$multi, lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call)) 39: test_files_serial(test_dir = test_dir, test_package = test_package, test_paths = test_paths, load_helpers = load_helpers, reporter = reporter, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, desc = desc, load_package = load_package, error_call = error_call) 40: test_files(test_dir = path, test_paths = test_paths, test_package = package, reporter = reporter, load_helpers = load_helpers, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, load_package = load_package, parallel = parallel) 41: test_dir("testthat", package = package, reporter = reporter, ..., load_package = "installed") 42: test_check("DMCfun") An irrecoverable exception occurred. R is aborting now ... Flavor: r-oldrel-macos-arm64