CRAN Package Check Results for Package PanelSelect

Last updated on 2026-11-10 23:54:23 CET.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	2.0.0	46.05	458.32	504.37	OK
r-devel-linux-x86_64-debian-gcc	2.0.0	29.48	310.21	339.69	OK
r-devel-linux-x86_64-fedora-clang	2.0.0	30.00			OK
r-devel-linux-x86_64-fedora-gcc	2.0.0	33.00	319.99	352.99	OK
r-devel-windows-x86_64	2.0.0	48.00	621.00	669.00	OK
r-patched-linux-x86_64	2.0.0				OK
r-release-linux-x86_64	2.0.0	39.07	444.64	483.71	OK
r-release-macos-arm64	2.0.0	9.00	107.00	116.00	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	11.00	176.00	187.00	ERROR
r-oldrel-macos-x86_64	2.0.0	28.00	945.00	973.00	OK
r-oldrel-windows-x86_64	2.0.0	59.00	690.00	749.00	OK

Additional issues

BLIS M1mac MKL noLD OpenBLAS

Check Details

Version: 2.0.0
Check: tests
Result: ERROR Running ‘testthat.R’ [76s/78s] 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’ [131s/132s] 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