Last updated on 2026-10-30 19:51:20 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2.0.0 | 43.12 | 450.86 | 493.98 | OK | |
| r-devel-linux-x86_64-debian-gcc | 2.0.0 | 29.26 | 305.29 | 334.55 | OK | |
| r-devel-linux-x86_64-fedora-clang | 2.0.0 | 31.00 | 304.57 | 335.57 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 2.0.0 | 30.00 | 294.43 | 324.43 | OK | |
| r-devel-windows-x86_64 | 2.0.0 | 48.00 | 621.00 | 669.00 | OK | |
| r-patched-linux-x86_64 | 1.0.1 | 21.33 | 71.09 | 92.42 | OK | |
| r-release-linux-x86_64 | 1.0.1 | 23.13 | 70.81 | 93.94 | OK | |
| r-release-macos-arm64 | 2.0.0 | 9.00 | 108.00 | 117.00 | ERROR | |
| r-release-macos-x86_64 | 2.0.0 | 29.00 | 1085.00 | 1114.00 | OK | |
| r-release-windows-x86_64 | 2.0.0 | 73.00 | 581.00 | 654.00 | OK | |
| r-oldrel-macos-arm64 | 2.0.0 | ERROR | ||||
| r-oldrel-macos-x86_64 | 2.0.0 | 28.00 | 945.00 | 973.00 | OK | |
| r-oldrel-windows-x86_64 | 1.0.1 | 37.00 | 155.00 | 192.00 | OK |
Version: 2.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [77s/77s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(PanelSelect)
> test_check("PanelSelect")
Saving _problems/test-linear-marginal-17.R
Saving _problems/test-saved-objects-185.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 7165 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-linear-marginal.R:17:5'): the Linear outcome marginal agrees with 512-bit references ──
Expected `linear_marginal_error(...)` < 1e-14.
Actual comparison: 0.00000000000598 >= 0.00000000000001
Difference: 0.00000000000597 >= 0
── Failure ('test-saved-objects.R:184:3'): every method treats a historical fit as the current fit ──
Expected `timeless(...)` to be identical to `timeless(...)`.
Differences:
actual$loglik | expected$loglik
[1] -10.10039885586935782 | -10.10039885586935782 [1]
[2] -3.24159125483733135 | -3.24159125483733135 [2]
[3] -2.89465297728714344 - -2.89465297728714388 [3]
[4] -3.37965917063330412 - -3.37965917063330457 [4]
[5] -4.58475365485730180 | -4.58475365485730180 [5]
[6] -3.22217603471553282 - -3.22217603471553327 [6]
actual$score | expected$score
[1] 2.493413743913341474 - 2.493413743913341030 [1]
[2] -0.796854458579451919 | -0.796854458579451919 [2]
[3] -1.301718344361345370 - -1.301718344361345592 [3]
[4] -0.194788251504897897 - -0.194788251504898230 [4]
[5] 0.273590677642142899 - 0.273590677642142510 [5]
[6] -0.473643661050524467 - -0.473643661050524689 [6]
[7] -2.167817163054415630 | -2.167817163054415630 [7]
[8] -0.096915820099770317 | -0.096915820099770317 [8]
[9] 0.082296029198408727 - 0.082296029198408685 [9]
[10] -0.065413528877203558 - -0.065413528877203614 [10]
... ... ... and 8 more ...
actual$reference_score | expected$reference_score
[1] 2.493413710276603190 - 2.493413710276603634 [1]
[2] -0.796854507669286005 - -0.796854507669285672 [2]
[3] -1.301718338309215239 | -1.301718338309215239 [3]
[4] -0.194788243670823868 - -0.194788243670823702 [4]
[5] 0.273591211128634160 | 0.273591211128634160 [5]
[6] -0.473643635630989990 - -0.473643635630990101 [6]
[7] -2.167817154970784088 | -2.167817154970784088 [7]
[8] -0.096915848851994044 - -0.096915848851993877 [8]
[9] 0.082296032155023888 - 0.082296032155023902 [9]
[10] -0.065413527555913759 - -0.065413527555913731 [10]
... ... ... and 8 more ...
actual$diagnostics$panels[[1]]$score vs expected$diagnostics$panels[[1]]$score
- 2.49341374391334147
+ 2.49341374391334103
-2.16781716305441563
- 2.53214688535223376
+ 2.53214688535223287
actual$diagnostics$panels[[1]]$reference_score vs expected$diagnostics$panels[[1]]$reference_score
- 2.49341371027660319
+ 2.49341371027660363
-2.16781715497078409
- 2.53214677369280272
+ 2.53214677369280317
`actual$diagnostics$panels[[1]]$loglik_error`: 0.0000000032484137
`expected$diagnostics$panels[[1]]$loglik_error`: 0.0000000032484149
actual$diagnostics$panels[[1]]$score_error vs expected$diagnostics$panels[[1]]$score_error
- 0.0000000616142675
+ 0.0000000616142735
- 0.0000000229289210
+ 0.0000000229289268
- 0.0000001511403091
+ 0.0000001511403182
actual$diagnostics$panels[[1]]$cell_error[5:17] vs expected$diagnostics$panels[[1]]$cell_error[5:17]
0.000000000005514462
0.000000000001720179
0.000000000005263710
- 0.000000000000000013
+ 0.000000000000000000
- 0.000000000003220313
+ 0.000000000003221035
0.000000000123611543
0.000000000000000000
0.000000000000000000
0.000000000000000000
- 0.000000000002159467
+ 0.000000000002159356
and 3 more ...
actual$diagnostics$panels[[2]]$reference_score vs expected$diagnostics$panels[[2]]$reference_score
- -0.79685450766928601
+ -0.79685450766928567
- -0.09691584885199404
+ -0.09691584885199388
- -0.43671435646911488
+ -0.43671435646911505
`actual$diagnostics$panels[[2]]$loglik_error`: 0.00000000837816353
`expected$diagnostics$panels[[2]]$loglik_error`: 0.00000000837816331
actual$diagnostics$panels[[2]]$score_error vs expected$diagnostics$panels[[2]]$score_error
- 0.000000058652309491
+ 0.000000058652309191
- 0.000000030193033822
+ 0.000000030193033661
- 0.000000108637608158
+ 0.000000108637608186
actual$diagnostics$panels[[2]]$cell_error[3:9] vs expected$diagnostics$panels[[2]]$cell_error[3:9]
0.00000000000000512
0.00000000000627372
0.00000000340428738
- 0.00000000004858075
+ 0.00000000004858053
0.00000000000013717
0.00000000000000001
0.00000000000000010
`actual$diagnostics$panels[[3]]$loglik`: -2.89465297728714344
`expected$diagnostics$panels[[3]]$loglik`: -2.89465297728714388
actual$diagnostics$panels[[3]]$score vs expected$diagnostics$panels[[3]]$score
- -1.301718344361345370
+ -1.301718344361345592
- 0.082296029198408727
+ 0.082296029198408685
- 0.280477257370210509
+ 0.280477257370210176
actual$diagnostics$panels[[3]]$reference_score vs expected$diagnostics$panels[[3]]$reference_score
-1.301718338309215239
- 0.082296032155023888
+ 0.082296032155023902
- 0.280477213922055046
+ 0.280477213922054935
`actual$diagnostics$panels[[3]]$loglik_error`: 0.00000000513816494
`expected$diagnostics$panels[[3]]$loglik_error`: 0.00000000513816477
actual$diagnostics$panels[[3]]$score_error vs expected$diagnostics$panels[[3]]$score_error
- 0.000000032636181085
+ 0.000000032636181136
- 0.000000016332234999
+ 0.000000016332235043
- 0.000000043885349640
+ 0.000000043885349168
actual$diagnostics$panels[[3]]$outer_tail_score vs expected$diagnostics$panels[[3]]$outer_tail_score
0.000000000000000000000000000000189259744086055177
- 0.000000000000000000000000000000087602477821960278
+ 0.000000000000000000000000000000087602477821960267
0.000000000000000000000000000001294540400872581101
actual$diagnostics$panels[[3]]$cell_error[1:11] vs expected$diagnostics$panels[[3]]$cell_error[1:11]
0.000000000000000000000
0.000000000000000000127
0.000000000000057177027
- 0.000000000049738647947
+ 0.000000000049738648022
- 0.000000004760488302169
+ 0.000000004760488295230
- 0.000000000009564737891
+ 0.000000000009564904424
0.000000000000000008674
- 0.000000000000134836586
+ 0.000000000000134503519
0.000000000000000069389
0.000000000287766639222
and 1 more ...
`actual$diagnostics$panels[[4]]$loglik`: -3.37965917063330412
`expected$diagnostics$panels[[4]]$loglik`: -3.37965917063330457
actual$diagnostics$panels[[4]]$score vs expected$diagnostics$panels[[4]]$score
- -0.194788251504897897
+ -0.194788251504898230
- -0.065413528877203558
+ -0.065413528877203614
- -0.850866932753197802
+ -0.850866932753198024
actual$diagnostics$panels[[4]]$reference_score vs expected$diagnostics$panels[[4]]$reference_score
- -0.194788243670823868
+ -0.194788243670823702
- -0.065413527555913759
+ -0.065413527555913731
- -0.850866609440064314
+ -0.850866609440064203
`actual$diagnostics$panels[[4]]$loglik_error`: 0.00000002657798120
`expected$diagnostics$panels[[4]]$loglik_error`: 0.00000002657798157
actual$diagnostics$panels[[4]]$score_error vs expected$diagnostics$panels[[4]]$score_error
- 0.000000023795665651
+ 0.000000023795665859
- 0.000000004019695261
+ 0.000000004019695315
- 0.000000328470147862
+ 0.000000328470148415
actual$diagnostics$panels[[4]]$outer_tail_score vs expected$diagnostics$panels[[4]]$outer_tail_score
- 0.000000000000000000000000000000304863371839479871
+ 0.000000000000000000000000000000304863371839479915
- 0.000000000000000000000000000000076432628381750360
+ 0.000000000000000000000000000000076432628381750371
0.000000000000000000000000000003526676047160834503
actual$diagnostics$panels[[4]]$cell_error[5:18] vs expected$diagnostics$panels[[4]]$cell_error[5:18]
0.00000000190569971869
0.00000000000000000000
0.00000000000000000000
- 0.00000000000000020817
+ 0.00000000000000019429
- 0.00000002456448574797
+ 0.00000002456448574748
0.00000000000000003159
0.00000000000000000000
0.00000000000000000000
0.00000000000000000000
0.00000000009654296113
and 4 more ...
actual$diagnostics$panels[[5]]$score vs expected$diagnostics$panels[[5]]$score
- 0.27359067764214290
+ 0.27359067764214251
- 2.36543902729544442
+ 2.36543902729544397
- -0.89242073475182770
+ -0.89242073475182737
actual$diagnostics$panels[[5]]$reference_score vs expected$diagnostics$panels[[5]]$reference_score
0.27359121112863416
2.36543913369875947
- -0.89241923183411442
+ -0.89241923183411487
`actual$diagnostics$panels[[5]]$loglik_error`: 0.00000001597278152
`expected$diagnostics$panels[[5]]$loglik_error`: 0.00000001597278210
actual$diagnostics$panels[[5]]$score_error vs expected$diagnostics$panels[[5]]$score_error
- 0.00000054315896827
+ 0.00000054315896857
- 0.00000018202758612
+ 0.00000018202758892
- 0.00000150373868217
+ 0.00000150373868253
actual$diagnostics$panels[[5]]$cell_error[3:16] vs expected$diagnostics$panels[[5]]$cell_error[3:16]
0.000000000000000011
0.000000000002045137
0.000000000585034525
- 0.000000000036029436
+ 0.000000000036029492
- 0.000000000000269701
+ 0.000000000000269673
- 0.000000000000000083
+ 0.000000000000000180
- 0.000000000030317693
+ 0.000000000030318137
0.000000015318835656
0.000000000000000419
0.000000000000000000
and 4 more ...
`actual$diagnostics$panels[[6]]$loglik`: -3.22217603471553282
`expected$diagnostics$panels[[6]]$loglik`: -3.22217603471553327
actual$diagnostics$panels[[6]]$score vs expected$diagnostics$panels[[6]]$score
- -0.473643661050524467
+ -0.473643661050524689
- -0.117510534271229747
+ -0.117510534271229719
- -0.632616512744341830
+ -0.632616512744342052
actual$diagnostics$panels[[6]]$reference_score vs expected$diagnostics$panels[[6]]$reference_score
- -0.473643635630989990
+ -0.473643635630990101
- -0.117510549533966183
+ -0.117510549533966099
- -0.632616343998201103
+ -0.632616343998200992
`actual$diagnostics$panels[[6]]$loglik_error`: 0.00000001330465719
`expected$diagnostics$panels[[6]]$loglik_error`: 0.00000001330465749
actual$diagnostics$panels[[6]]$score_error vs expected$diagnostics$panels[[6]]$score_error
- 0.000000033678958794
+ 0.000000033678959158
- 0.000000023327707310
+ 0.000000023327707461
- 0.000000192390457689
+ 0.000000192390457654
actual$diagnostics$panels[[6]]$outer_tail_score vs expected$diagnostics$panels[[6]]$outer_tail_score
- 0.000000000000000000000000000000237049970650324701
+ 0.000000000000000000000000000000237049970650324745
0.000000000000000000000000000000202578815311736450
0.000000000000000000000000000002410475034126154910
actual$diagnostics$panels[[6]]$cell_error[1:12] vs expected$diagnostics$panels[[6]]$cell_error[1:12]
0.000000000000000000000000000
0.000000000000000000001295059
- 0.000000000000002788549354856
+ 0.000000000000002788549354895
0.000000000006257184860850550
- 0.000000002532316370484899437
+ 0.000000002532316382627963769
- 0.000000000030149743812657448
+ 0.000000000030149910346111142
- 0.000000000000154154466969203
+ 0.000000000000154209978120434
- 0.000000000000000034694469520
+ 0.000000000000000017347234760
- 0.000000000000000069388939039
+ 0.000000000000000152655665886
0.000000010685798890462975749
and 2 more ...
`actual$diagnostics$aggregate_loglik_error`: 0.0000000726201621
`expected$diagnostics$aggregate_loglik_error`: 0.0000000726201642
actual$diagnostics$aggregate_score_error vs expected$diagnostics$aggregate_score_error
- 0.0000007535363508
+ 0.0000007535363574
- 0.0000002788291785
+ 0.0000002788291872
- 0.0000013992118701
+ 0.0000013992118759
actual$diagnostics$finite_prior_mass vs expected$diagnostics$finite_prior_mass
- 1.00000000000000155
+ 1.00000000000000111
1.00000000000000155
1.00000000000000155
1.00000000000000133
- 1.00000000000000111
+ 1.00000000000000133
1.00000000000000155
actual$diagnostics$finite_prior_absolute_moment[1:9] vs expected$diagnostics$finite_prior_absolute_moment[1:9]
- 0.79788456080286652
+ 0.79788456080286640
0.79788456080286640
0.79788456080286652
0.79788456080286629
- 0.79788456080286574
+ 0.79788456080286585
- 0.79788456080286640
+ 0.79788456080286652
0.00000000000000000
0.00000000000000000
0.00000000000000000
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 7165 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-macos-arm64
Version: 2.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [104s/105s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(PanelSelect)
> test_check("PanelSelect")
Saving _problems/test-linear-marginal-17.R
Saving _problems/test-saved-objects-185.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 7165 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-linear-marginal.R:17:5'): the Linear outcome marginal agrees with 512-bit references ──
Expected `linear_marginal_error(...)` < 1e-14.
Actual comparison: 0.00000000000598 >= 0.00000000000001
Difference: 0.00000000000597 >= 0
── Failure ('test-saved-objects.R:184:3'): every method treats a historical fit as the current fit ──
Expected `timeless(...)` to be identical to `timeless(...)`.
Differences:
actual$loglik | expected$loglik
[1] -10.10039885586935782 | -10.10039885586935782 [1]
[2] -3.24159125483733135 | -3.24159125483733135 [2]
[3] -2.89465297728714344 - -2.89465297728714388 [3]
[4] -3.37965917063330457 - -3.37965917063330501 [4]
[5] -4.58475365485730180 - -4.58475365485730268 [5]
[6] -3.22217603471553282 | -3.22217603471553282 [6]
actual$score | expected$score
[1] 2.493413743913340586 - 2.493413743913340141 [1]
[2] -0.796854458579451586 - -0.796854458579451475 [2]
[3] -1.301718344361345592 - -1.301718344361345814 [3]
[4] -0.194788251504897952 - -0.194788251504898091 [4]
[5] 0.273590677642142455 | 0.273590677642142455 [5]
[6] -0.473643661050524856 - -0.473643661050524800 [6]
[7] -2.167817163054415186 - -2.167817163054414298 [7]
[8] -0.096915820099769984 - -0.096915820099769928 [8]
[9] 0.082296029198408879 - 0.082296029198408741 [9]
[10] -0.065413528877203531 - -0.065413528877203558 [10]
... ... ... and 8 more ...
actual$reference_score | expected$reference_score
[1] 2.493413710276600970 - 2.493413710276601414 [1]
[2] -0.796854507669286005 - -0.796854507669285894 [2]
[3] -1.301718338309215239 - -1.301718338309215461 [3]
[4] -0.194788243670823813 - -0.194788243670823924 [4]
[5] 0.273591211128633993 - 0.273591211128634271 [5]
[6] -0.473643635630989879 - -0.473643635630989934 [6]
[7] -2.167817154970783644 | -2.167817154970783644 [7]
[8] -0.096915848851993974 - -0.096915848851993891 [8]
[9] 0.082296032155023929 - 0.082296032155023985 [9]
[10] -0.065413527555913731 - -0.065413527555913759 [10]
... ... ... and 8 more ...
actual$diagnostics$panels[[1]]$score vs expected$diagnostics$panels[[1]]$score
- 2.49341374391334059
+ 2.49341374391334014
- -2.16781716305441519
+ -2.16781716305441430
2.53214688535223109
actual$diagnostics$panels[[1]]$reference_score vs expected$diagnostics$panels[[1]]$reference_score
- 2.49341371027660097
+ 2.49341371027660141
-2.16781715497078364
2.53214677369279917
`actual$diagnostics$panels[[1]]$loglik_error`: 0.00000000324841361
`expected$diagnostics$panels[[1]]$loglik_error`: 0.00000000324841433
actual$diagnostics$panels[[1]]$score_error vs expected$diagnostics$panels[[1]]$score_error
- 0.0000000616142666
+ 0.0000000616142696
- 0.0000000229289206
+ 0.0000000229289237
- 0.0000001511403106
+ 0.0000001511403137
actual$diagnostics$panels[[1]]$outer_tail_score vs expected$diagnostics$panels[[1]]$outer_tail_score
0.000000000000000000000000000566167258900551766
- 0.000000000000000000000000000314776714116931152
+ 0.000000000000000000000000000314776714116931107
0.000000000000000000000000004453017559486833693
actual$diagnostics$panels[[1]]$cell_error[6:12] vs expected$diagnostics$panels[[1]]$cell_error[6:12]
0.00000000000172018
0.00000000000526371
0.00000000000000001
- 0.00000000000322031
+ 0.00000000000322103
0.00000000012361154
0.00000000000000000
0.00000000000000000
actual$diagnostics$panels[[2]]$score vs expected$diagnostics$panels[[2]]$score
- -0.796854458579451586
+ -0.796854458579451475
- -0.096915820099769984
+ -0.096915820099769928
-0.436714255501111814
actual$diagnostics$panels[[2]]$reference_score vs expected$diagnostics$panels[[2]]$reference_score
- -0.796854507669286005
+ -0.796854507669285894
- -0.096915848851993974
+ -0.096915848851993891
-0.436714356469115050
`actual$diagnostics$panels[[2]]$loglik_error`: 0.000000008378163775
`expected$diagnostics$panels[[2]]$loglik_error`: 0.000000008378163870
actual$diagnostics$panels[[2]]$score_error vs expected$diagnostics$panels[[2]]$score_error
- 0.000000058652309120
+ 0.000000058652309252
- 0.000000030193033526
+ 0.000000030193033577
- 0.000000108637607781
+ 0.000000108637607820
actual$diagnostics$panels[[2]]$cell_error[5:12] vs expected$diagnostics$panels[[2]]$cell_error[5:12]
0.0000000034042873798
0.0000000000485807505
0.0000000000001371681
- 0.0000000000000000087
+ 0.0000000000000000069
- 0.0000000000000000971
+ 0.0000000000000001943
0.0000000047972427541
0.0000000000000000002
0.0000000000000000000
`actual$diagnostics$panels[[3]]$loglik`: -2.89465297728714344
`expected$diagnostics$panels[[3]]$loglik`: -2.89465297728714388
actual$diagnostics$panels[[3]]$score vs expected$diagnostics$panels[[3]]$score
- -1.30171834436134559
+ -1.30171834436134581
- 0.08229602919840888
+ 0.08229602919840874
- 0.28047725737021045
+ 0.28047725737021034
actual$diagnostics$panels[[3]]$reference_score vs expected$diagnostics$panels[[3]]$reference_score
- -1.301718338309215239
+ -1.301718338309215461
- 0.082296032155023929
+ 0.082296032155023985
- 0.280477213922055046
+ 0.280477213922055102
`actual$diagnostics$panels[[3]]$loglik_error`: 0.00000000513816471
`expected$diagnostics$panels[[3]]$loglik_error`: 0.00000000513816511
actual$diagnostics$panels[[3]]$score_error vs expected$diagnostics$panels[[3]]$score_error
- 0.00000003263618072
+ 0.00000003263618131
- 0.00000001633223498
+ 0.00000001633223520
- 0.00000004388534943
+ 0.00000004388534931
actual$diagnostics$panels[[3]]$outer_tail_score vs expected$diagnostics$panels[[3]]$outer_tail_score
0.000000000000000000000000000000189259744086055177
- 0.000000000000000000000000000000087602477821960289
+ 0.000000000000000000000000000000087602477821960278
0.000000000000000000000000000001294540400872581101
actual$diagnostics$panels[[3]]$cell_error[1:13] vs expected$diagnostics$panels[[3]]$cell_error[1:13]
0.000000000000000000000
0.000000000000000000127
0.000000000000057177027
- 0.000000000049738647947
+ 0.000000000049738648022
- 0.000000004760488302169
+ 0.000000004760488295230
- 0.000000000009564737891
+ 0.000000000009565070958
0.000000000000000008674
0.000000000000134670053
- 0.000000000000000000000
+ 0.000000000000000069389
- 0.000000000287766639222
+ 0.000000000287766639235
and 3 more ...
`actual$diagnostics$panels[[4]]$loglik`: -3.37965917063330457
`expected$diagnostics$panels[[4]]$loglik`: -3.37965917063330501
actual$diagnostics$panels[[4]]$score vs expected$diagnostics$panels[[4]]$score
- -0.194788251504897952
+ -0.194788251504898091
- -0.065413528877203531
+ -0.065413528877203558
-0.850866932753198135
actual$diagnostics$panels[[4]]$reference_score vs expected$diagnostics$panels[[4]]$reference_score
- -0.194788243670823813
+ -0.194788243670823924
- -0.065413527555913731
+ -0.065413527555913759
- -0.850866609440064314
+ -0.850866609440064203
`actual$diagnostics$panels[[4]]$loglik_error`: 0.00000002657798145
`expected$diagnostics$panels[[4]]$loglik_error`: 0.00000002657798168
actual$diagnostics$panels[[4]]$score_error vs expected$diagnostics$panels[[4]]$score_error
- 0.000000023795665536
+ 0.000000023795665880
- 0.000000004019695226
+ 0.000000004019695295
- 0.000000328470147708
+ 0.000000328470148429
actual$diagnostics$panels[[4]]$cell_error[5:11] vs expected$diagnostics$panels[[4]]$cell_error[5:11]
0.000000001905699719
0.000000000000000000
0.000000000000000000
- 0.000000000000000208
+ 0.000000000000000194
0.000000024564485747
0.000000000000000032
0.000000000000000000
actual$diagnostics$panels[[4]]$cell_error[12:18] vs expected$diagnostics$panels[[4]]$cell_error[12:18]
0.000000000000000000
0.000000000000000000
0.000000000096542961
- 0.000000000000719758
+ 0.000000000000719702
- 0.000000000000014488
+ 0.000000000000014544
- 0.000000000003550493
+ 0.000000000003550771
- 0.000000000000016348
+ 0.000000000000016320
`actual$diagnostics$panels[[5]]$loglik`: -4.58475365485730180
`expected$diagnostics$panels[[5]]$loglik`: -4.58475365485730268
actual$diagnostics$panels[[5]]$score vs expected$diagnostics$panels[[5]]$score
0.27359067764214245
2.36543902729544486
- -0.89242073475182748
+ -0.89242073475182770
actual$diagnostics$panels[[5]]$reference_score vs expected$diagnostics$panels[[5]]$reference_score
- 0.27359121112863399
+ 0.27359121112863427
- 2.36543913369875991
+ 2.36543913369875947
- -0.89241923183411465
+ -0.89241923183411476
`actual$diagnostics$panels[[5]]$loglik_error`: 0.00000001597278146
`expected$diagnostics$panels[[5]]$loglik_error`: 0.00000001597278133
actual$diagnostics$panels[[5]]$score_error vs expected$diagnostics$panels[[5]]$score_error
- 0.00000054315896826
+ 0.00000054315896855
- 0.00000018202758594
+ 0.00000018202758557
- 0.00000150373868247
+ 0.00000150373868217
actual$diagnostics$panels[[5]]$outer_tail_score vs expected$diagnostics$panels[[5]]$outer_tail_score
0.00000000000000000000000000000104583926316188
0.00000000000000000000000000000173189041696307
- 0.00000000000000000000000000001179599409267209
+ 0.00000000000000000000000000001179599409267226
actual$diagnostics$panels[[5]]$cell_error vs expected$diagnostics$panels[[5]]$cell_error
- 0.000000000000000000000000000000000091165154898723650355734353718397654
+ 0.000000000000000000000000000000000091165154898826284520601894031209450
0.000000000000000000000000300558610314411694305541884683939471135746490
0.000000000000000011036508742786966862178425359271422318712708998678096
0.000000000002045136781924416213965028585319849696588789811357855796814
- 0.000000000585034525164840335520466396701522171497344970703125000000000
+ 0.000000000585034524947999901023365509900031611323356628417968750000000
- 0.000000000036029436378814949648585752584040164947509765625000000000000
+ 0.000000000036029429439921045741357374936342239379882812500000000000000
- 0.000000000000269673172681450523668900132179260253906250000000000000000
+ 0.000000000000269506639227756750187836587429046630859375000000000000000
- 0.000000000000000166533453693773481063544750213623046875000000000000000
+ 0.000000000000000097144514654701197287067770957946777343750000000000000
0.000000000030317692800707618516753427684307098388671875000000000000000
0.000000015318835654403589741079372288368176668882369995117187500000000
and 6 more ...
actual$diagnostics$panels[[6]]$score vs expected$diagnostics$panels[[6]]$score
- -0.473643661050524856
+ -0.473643661050524800
- -0.117510534271229400
+ -0.117510534271229455
-0.632616512744341830
actual$diagnostics$panels[[6]]$reference_score vs expected$diagnostics$panels[[6]]$reference_score
- -0.473643635630989879
+ -0.473643635630989934
-0.117510549533966030
-0.632616343998200992
`actual$diagnostics$panels[[6]]$loglik_error`: 0.000000013304657052
`expected$diagnostics$panels[[6]]$loglik_error`: 0.000000013304656982
actual$diagnostics$panels[[6]]$score_error vs expected$diagnostics$panels[[6]]$score_error
- 0.000000033678959306
+ 0.000000033678959221
- 0.000000023327707613
+ 0.000000023327707663
- 0.000000192390457563
+ 0.000000192390457537
actual$diagnostics$panels[[6]]$cell_error[6:12] vs expected$diagnostics$panels[[6]]$cell_error[6:12]
0.000000000030149910
0.000000000000154154
0.000000000000000017
- 0.000000000000000069
+ 0.000000000000000000
0.000000010685798891
0.000000000000000254
0.000000000000000000
`actual$diagnostics$aggregate_loglik_error`: 0.0000000726201621
`expected$diagnostics$aggregate_loglik_error`: 0.0000000726201633
actual$diagnostics$aggregate_score_error vs expected$diagnostics$aggregate_score_error
- 0.0000007535363496
+ 0.0000007535363538
- 0.0000002788291779
+ 0.0000002788291810
- 0.0000013992118706
+ 0.0000013992118727
actual$diagnostics$finite_prior_mass[1:4] vs expected$diagnostics$finite_prior_mass[1:4]
- 1.00000000000000155
+ 1.00000000000000111
1.00000000000000155
1.00000000000000155
1.00000000000000133
actual$diagnostics$finite_prior_absolute_moment[1:9] vs expected$diagnostics$finite_prior_absolute_moment[1:9]
- 0.79788456080286652
+ 0.79788456080286640
- 0.79788456080286640
+ 0.79788456080286629
0.79788456080286652
0.79788456080286629
0.79788456080286574
- 0.79788456080286640
+ 0.79788456080286652
0.00000000000000000
0.00000000000000000
0.00000000000000000
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 7165 ]
Error:
! Test failures.
Execution halted
Flavor: r-oldrel-macos-arm64