Last updated on 2026-01-29 12:50:03 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.4.5 | 32.94 | 549.63 | 582.57 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.4.5 | 19.19 | 367.47 | 386.66 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.4.5 | 64.00 | 903.30 | 967.30 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 1.4.5 | 57.00 | 864.67 | 921.67 | ERROR | |
| r-devel-windows-x86_64 | 1.4.5 | 39.00 | 399.00 | 438.00 | OK | |
| r-patched-linux-x86_64 | 1.4.5 | 29.41 | 523.32 | 552.73 | OK | |
| r-release-linux-x86_64 | 1.4.4 | 27.30 | 536.66 | 563.96 | ERROR | |
| r-release-macos-arm64 | 1.4.5 | 7.00 | 130.00 | 137.00 | OK | |
| r-release-macos-x86_64 | 1.4.5 | 23.00 | 416.00 | 439.00 | OK | |
| r-release-windows-x86_64 | 1.4.4 | 34.00 | 406.00 | 440.00 | ERROR | |
| r-oldrel-macos-arm64 | 1.4.5 | 7.00 | 150.00 | 157.00 | OK | |
| r-oldrel-macos-x86_64 | 1.4.5 | 23.00 | 461.00 | 484.00 | OK | |
| r-oldrel-windows-x86_64 | 1.4.4 | 44.00 | 533.00 | 577.00 | ERROR |
Version: 1.4.5
Check: tests
Result: ERROR
Running ‘testthat.R’ [546s/290s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(insight)
> test_check("insight")
Starting 2 test processes.
> test-find_transformation.R: boundary (singular) fit: see help('isSingular')
> test-gamlss.R: GAMLSS-RS iteration
> test-gamlss.R: 1: Global Deviance = 365.2328
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 365.1292
> test-gamlss.R: GAMLSS-RS iteration 3: Global Deviance = 365.1269
> test-gamlss.R: GAMLSS-RS iteration 4: Global Deviance = 365.1268
> test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 5779.746
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 5779.746
> test-gamlss.R: GAMLSS-RS iteration
> test-gamlss.R: 1: Global Deviance = 703.1164
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 703.1164
> test-get_model.R: Loading required namespace: GPArotation
> test-get_random.R: boundary (singular) fit: see help('isSingular')
Saving _problems/test-get_residuals-63.R
Saving _problems/test-get_residuals-91.R
Saving _problems/test-get_residuals-127.R
> test-glmmPQL.R: iteration 1
> test-is_converged.R: boundary (singular) fit: see help('isSingular')
> test-mmrm.R: mmrm() registered as emmeans extension
> test-mmrm.R: mmrm() registered as car::Anova extension
> test-model_info.R: boundary (singular) fit: see help('isSingular')
> test-nestedLogit.R: list(work = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L,
> test-nestedLogit.R: 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> test-nestedLogit.R: 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L,
> test-nestedLogit.R: 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,
> test-nestedLogit.R: 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L,
> test-nestedLogit.R: 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L,
> test-nestedLogit.R: 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L
> test-nestedLogit.R: ), full = c(1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L,
> test-nestedLogit.R: 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L,
> test-nestedLogit.R: 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L))
> test-polr.R:
> test-polr.R: Re-fitting to get Hessian
> test-polr.R:
> test-polr.R:
> test-polr.R: Re-fitting to get Hessian
> test-polr.R:
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
> test-survey_coxph.R: Stratified
> test-survey_coxph.R: Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
[ FAIL 3 | WARN 2 | SKIP 92 | PASS 3433 ]
══ Skipped tests (92) ══════════════════════════════════════════════════════════
• On CRAN (84): 'test-GLMMadaptive.R:2:1', 'test-averaging.R:1:1',
'test-bias_correction.R:1:1', 'test-blmer.R:262:3', 'test-betareg.R:197:5',
'test-brms.R:1:1', 'test-brms_aterms.R:1:1',
'test-brms_gr_random_effects.R:1:1', 'test-brms_missing.R:1:1',
'test-brms_mm.R:1:1', 'test-brms_von_mises.R:1:1',
'test-clean_names.R:109:3', 'test-clean_parameters.R:1:1',
'test-coxme.R:1:1', 'test-clmm.R:170:3', 'test-cpglmm.R:152:3',
'test-export_table.R:6:3', 'test-export_table.R:18:3',
'test-export_table.R:152:3', 'test-export_table.R:273:3',
'test-export_table.R:327:1', 'test-export_table.R:814:3',
'test-export_table.R:858:3', 'test-export_table.R:918:1',
'test-export_table.R:939:3', 'test-export_table.R:1003:3',
'test-find_smooth.R:39:3', 'test-fixest.R:2:1', 'test-format_table.R:2:1',
'test-format_table_ci.R:73:3', 'test-find_random.R:43:3', 'test-gam.R:2:1',
'test-get_data.R:507:1', 'test-get_loglikelihood.R:143:3',
'test-get_loglikelihood.R:223:3', 'test-get_predicted.R:2:1',
'test-get_priors.R:1:1', 'test-get_varcov.R:43:3', 'test-get_varcov.R:57:3',
'test-get_datagrid.R:1092:3', 'test-get_datagrid.R:1129:5',
'test-is_converged.R:47:1', 'test-iv_robust.R:120:3', 'test-lavaan.R:1:1',
'test-lcmm.R:1:1', 'test-lme.R:28:3', 'test-lme.R:212:3',
'test-glmmTMB.R:67:3', 'test-glmmTMB.R:767:3', 'test-glmmTMB.R:803:3',
'test-glmmTMB.R:1142:3', 'test-marginaleffects.R:1:1', 'test-mgcv.R:1:1',
'test-mipo.R:1:1', 'test-mlogit.R:1:1', 'test-model_info.R:106:3',
'test-modelbased.R:1:1', 'test-mvrstanarm.R:1:1', 'test-null_model.R:85:3',
'test-phylolm.R:1:1', 'test-print_parameters.R:1:1',
'test-r2_nakagawa_bernoulli.R:1:1', 'test-r2_nakagawa_beta.R:1:1',
'test-r2_nakagawa_binomial.R:1:1', 'test-r2_nakagawa_gamma.R:1:1',
'test-r2_nakagawa_linear.R:1:1', 'test-r2_nakagawa_negbin.R:1:1',
'test-r2_nakagawa_negbin_zi.R:1:1', 'test-r2_nakagawa_ordered_beta.R:1:1',
'test-r2_nakagawa_poisson.R:1:1', 'test-r2_nakagawa_poisson_zi.R:1:1',
'test-r2_nakagawa_truncated_poisson.R:1:1', 'test-r2_nakagawa_tweedie.R:1:1',
'test-rlmer.R:276:3', 'test-rms.R:1:1', 'test-rqss.R:1:1',
'test-rstanarm.R:1:1', 'test-sdmTMB.R:1:1', 'test-selection.R:2:1',
'test-spatial.R:2:1', 'test-svylme.R:1:1', 'test-tidymodels.R:1:1',
'test-vgam.R:2:1', 'test-weightit.R:1:1'
• On Linux (3): 'test-BayesFactorBF.R:1:1', 'test-MCMCglmm.R:1:1',
'test-get_data.R:161:3'
• Package `logistf` is loaded and breaks `mmrm::mmrm()` (1): 'test-mmrm.R:4:1'
• TRUE is TRUE (1): 'test-feis.R:3:1'
• works interactively (2): 'test-coxph-panel.R:34:3', 'test-coxph.R:38:3'
• {bigglm} is not installed (1): 'test-model_info.R:24:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-get_residuals.R:60:3'): get_residuals - glm ──────────────────
Expected `get_residuals(m, weighted = TRUE)` to equal `as.vector(weighted.residuals(m))`.
Differences:
actual | expected
[1] 1.21 - 1.09 [1]
[2] 1.28 - 1.15 [2]
[3] 0.86 - 0.65 [3]
[4] -1.04 - -0.85 [4]
[5] -0.52 - -0.38 [5]
[6] -1.27 - -1.03 [6]
[7] -0.55 - -0.40 [7]
[8] -1.37 - -1.48 [8]
[9] -1.55 - -1.67 [9]
[10] -0.96 - -0.78 [10]
... ... ... and 22 more ...
── Error ('test-get_residuals.R:88:3'): get_residuals - lmer ───────────────────
Error in `weights.merMod(obj, "working")`: working weights only available for GLMMs
Backtrace:
▆
1. ├─testthat::expect_equal(get_residuals(m, weighted = TRUE), as.vector(weighted.residuals(m))) at test-get_residuals.R:88:3
2. │ └─testthat::quasi_label(enquo(expected), expected.label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::as.vector(weighted.residuals(m))
5. └─stats::weighted.residuals(m)
6. ├─stats::weights(obj, "working")
7. └─lme4:::weights.merMod(obj, "working")
── Failure ('test-get_residuals.R:124:3'): get_residuals - glmer ───────────────
Expected `get_residuals(m, weighted = TRUE)` to equal `as.vector(weighted.residuals(m))`.
Differences:
actual | expected
[1] -1.11786391 - -1.05386632 [1]
[2] 1.14239067 - 1.28257102 [2]
[3] 2.23457556 - 2.88694127 [3]
[4] -1.08596400 - -0.78321497 [4]
[5] -0.21791718 - -0.21437194 [5]
[6] -0.22235409 - -0.21477116 [6]
[7] -0.16964513 - -0.16455866 [7]
[8] 1.04270519 - 1.09542729 [8]
[9] 0.12432488 - 0.12602124 [9]
[10] -1.94965696 - -1.41389334 [10]
... ... ... and 46 more ...
[ FAIL 3 | WARN 2 | SKIP 92 | PASS 3433 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.4.5
Check: tests
Result: ERROR
Running ‘testthat.R’ [509s/340s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(insight)
> test_check("insight")
Starting 2 test processes.
> test-find_transformation.R: boundary (singular) fit: see help('isSingular')
> test-gamlss.R: GAMLSS-RS iteration
> test-gamlss.R: 1: Global Deviance = 365.2328
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 365.1292
> test-gamlss.R: GAMLSS-RS iteration 3: Global Deviance = 365.1269
> test-gamlss.R: GAMLSS-RS iteration 4: Global Deviance = 365.1268
> test-gamlss.R: GAMLSS-RS iteration
> test-gamlss.R: 1: Global Deviance = 5779.746
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 5779.746
> test-gamlss.R: GAMLSS-RS iteration
> test-gamlss.R: 1: Global Deviance = 703.1164
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 703.1164
> test-get_model.R: Loading required namespace: GPArotation
> test-get_random.R: boundary (singular) fit: see help('isSingular')
Saving _problems/test-get_residuals-63.R
Saving _problems/test-get_residuals-91.R
Saving _problems/test-get_residuals-127.R
> test-glmmPQL.R: iteration 1
> test-is_converged.R: boundary (singular) fit: see help('isSingular')
> test-mmrm.R: mmrm() registered as emmeans extension
> test-mmrm.R: mmrm() registered as car::Anova extension
> test-model_info.R: boundary (singular) fit: see help('isSingular')
> test-nestedLogit.R: list(work = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L,
> test-nestedLogit.R: 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> test-nestedLogit.R: 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L,
> test-nestedLogit.R: 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,
> test-nestedLogit.R: 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L,
> test-nestedLogit.R: 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L,
> test-nestedLogit.R: 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L
> test-nestedLogit.R: ), full = c(1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L,
> test-nestedLogit.R: 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L,
> test-nestedLogit.R: 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L))
> test-polr.R:
> test-polr.R: Re-fitting to get Hessian
> test-polr.R:
> test-polr.R:
> test-polr.R: Re-fitting to get Hessian
> test-polr.R:
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
> test-survey_coxph.R: Stratified
> test-survey_coxph.R: Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
[ FAIL 3 | WARN 2 | SKIP 92 | PASS 3433 ]
══ Skipped tests (92) ══════════════════════════════════════════════════════════
• On CRAN (84): 'test-GLMMadaptive.R:2:1', 'test-averaging.R:1:1',
'test-bias_correction.R:1:1', 'test-blmer.R:262:3', 'test-brms.R:1:1',
'test-brms_aterms.R:1:1', 'test-brms_gr_random_effects.R:1:1',
'test-brms_missing.R:1:1', 'test-brms_mm.R:1:1', 'test-brms_von_mises.R:1:1',
'test-betareg.R:197:5', 'test-clean_names.R:109:3',
'test-clean_parameters.R:1:1', 'test-coxme.R:1:1', 'test-clmm.R:170:3',
'test-cpglmm.R:152:3', 'test-export_table.R:6:3', 'test-export_table.R:18:3',
'test-export_table.R:152:3', 'test-export_table.R:273:3',
'test-export_table.R:327:1', 'test-export_table.R:814:3',
'test-export_table.R:858:3', 'test-export_table.R:918:1',
'test-export_table.R:939:3', 'test-export_table.R:1003:3',
'test-find_smooth.R:39:3', 'test-fixest.R:2:1', 'test-format_table.R:2:1',
'test-format_table_ci.R:73:3', 'test-gam.R:2:1', 'test-find_random.R:43:3',
'test-get_data.R:507:1', 'test-get_loglikelihood.R:143:3',
'test-get_loglikelihood.R:223:3', 'test-get_predicted.R:2:1',
'test-get_priors.R:1:1', 'test-get_varcov.R:43:3', 'test-get_varcov.R:57:3',
'test-get_datagrid.R:1092:3', 'test-get_datagrid.R:1129:5',
'test-is_converged.R:47:1', 'test-iv_robust.R:120:3', 'test-lavaan.R:1:1',
'test-lcmm.R:1:1', 'test-lme.R:28:3', 'test-lme.R:212:3',
'test-glmmTMB.R:67:3', 'test-glmmTMB.R:767:3', 'test-glmmTMB.R:803:3',
'test-glmmTMB.R:1142:3', 'test-marginaleffects.R:1:1', 'test-mgcv.R:1:1',
'test-mipo.R:1:1', 'test-mlogit.R:1:1', 'test-model_info.R:106:3',
'test-modelbased.R:1:1', 'test-mvrstanarm.R:1:1', 'test-null_model.R:85:3',
'test-phylolm.R:1:1', 'test-print_parameters.R:1:1',
'test-r2_nakagawa_bernoulli.R:1:1', 'test-r2_nakagawa_beta.R:1:1',
'test-r2_nakagawa_binomial.R:1:1', 'test-r2_nakagawa_gamma.R:1:1',
'test-r2_nakagawa_linear.R:1:1', 'test-r2_nakagawa_negbin.R:1:1',
'test-r2_nakagawa_negbin_zi.R:1:1', 'test-r2_nakagawa_ordered_beta.R:1:1',
'test-r2_nakagawa_poisson.R:1:1', 'test-r2_nakagawa_poisson_zi.R:1:1',
'test-r2_nakagawa_truncated_poisson.R:1:1', 'test-r2_nakagawa_tweedie.R:1:1',
'test-rlmer.R:276:3', 'test-rms.R:1:1', 'test-rqss.R:1:1',
'test-rstanarm.R:1:1', 'test-sdmTMB.R:1:1', 'test-selection.R:2:1',
'test-spatial.R:2:1', 'test-svylme.R:1:1', 'test-tidymodels.R:1:1',
'test-vgam.R:2:1', 'test-weightit.R:1:1'
• On Linux (3): 'test-BayesFactorBF.R:1:1', 'test-MCMCglmm.R:1:1',
'test-get_data.R:161:3'
• Package `logistf` is loaded and breaks `mmrm::mmrm()` (1): 'test-mmrm.R:4:1'
• TRUE is TRUE (1): 'test-feis.R:3:1'
• works interactively (2): 'test-coxph-panel.R:34:3', 'test-coxph.R:38:3'
• {bigglm} is not installed (1): 'test-model_info.R:24:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-get_residuals.R:60:3'): get_residuals - glm ──────────────────
Expected `get_residuals(m, weighted = TRUE)` to equal `as.vector(weighted.residuals(m))`.
Differences:
actual | expected
[1] 1.21 - 1.09 [1]
[2] 1.28 - 1.15 [2]
[3] 0.86 - 0.65 [3]
[4] -1.04 - -0.85 [4]
[5] -0.52 - -0.38 [5]
[6] -1.27 - -1.03 [6]
[7] -0.55 - -0.40 [7]
[8] -1.37 - -1.48 [8]
[9] -1.55 - -1.67 [9]
[10] -0.96 - -0.78 [10]
... ... ... and 22 more ...
── Error ('test-get_residuals.R:88:3'): get_residuals - lmer ───────────────────
Error in `weights.merMod(obj, "working")`: working weights only available for GLMMs
Backtrace:
▆
1. ├─testthat::expect_equal(get_residuals(m, weighted = TRUE), as.vector(weighted.residuals(m))) at test-get_residuals.R:88:3
2. │ └─testthat::quasi_label(enquo(expected), expected.label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::as.vector(weighted.residuals(m))
5. └─stats::weighted.residuals(m)
6. ├─stats::weights(obj, "working")
7. └─lme4:::weights.merMod(obj, "working")
── Failure ('test-get_residuals.R:124:3'): get_residuals - glmer ───────────────
Expected `get_residuals(m, weighted = TRUE)` to equal `as.vector(weighted.residuals(m))`.
Differences:
actual | expected
[1] -1.11786391 - -1.05386632 [1]
[2] 1.14239067 - 1.28257102 [2]
[3] 2.23457556 - 2.88694127 [3]
[4] -1.08596400 - -0.78321497 [4]
[5] -0.21791718 - -0.21437194 [5]
[6] -0.22235409 - -0.21477116 [6]
[7] -0.16964513 - -0.16455866 [7]
[8] 1.04270519 - 1.09542729 [8]
[9] 0.12432488 - 0.12602124 [9]
[10] -1.94965696 - -1.41389334 [10]
... ... ... and 46 more ...
[ FAIL 3 | WARN 2 | SKIP 92 | PASS 3433 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.4.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [332s/168s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(insight)
> test_check("insight")
Starting 2 test processes.
Saving _problems/test-feis-10.R
> test-find_transformation.R: boundary (singular) fit: see help('isSingular')
> test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 365.2328
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 365.1292
> test-gamlss.R: GAMLSS-RS iteration 3: Global Deviance = 365.1269
> test-gamlss.R: GAMLSS-RS iteration 4: Global Deviance = 365.1268
> test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 5779.746
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 5779.746
> test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 703.1164
> test-gamlss.R: GAMLSS-RS iteration
> test-gamlss.R: 2: Global Deviance = 703.1164
> test-get_model.R: Loading required namespace: GPArotation
> test-get_random.R: boundary (singular) fit: see help('isSingular')
> test-glmmPQL.R: iteration 1
> test-is_converged.R: boundary (singular) fit: see help('isSingular')
> test-mmrm.R: mmrm() registered as emmeans extension
> test-mmrm.R: mmrm() registered as car::Anova extension
> test-model_info.R: boundary (singular) fit: see help('isSingular')
> test-nestedLogit.R: list(work = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L,
> test-nestedLogit.R: 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> test-nestedLogit.R: 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L,
> test-nestedLogit.R: 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,
> test-nestedLogit.R: 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L,
> test-nestedLogit.R: 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L,
> test-nestedLogit.R: 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L
> test-nestedLogit.R: ), full = c(1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L,
> test-nestedLogit.R: 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L,
> test-nestedLogit.R: 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L))
> test-polr.R:
> test-polr.R: Re-fitting to get Hessian
> test-polr.R:
> test-polr.R:
> test-polr.R: Re-fitting to get Hessian
> test-polr.R:
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
[ FAIL 1 | WARN 1 | SKIP 96 | PASS 3487 ]
══ Skipped tests (96) ══════════════════════════════════════════════════════════
• On CRAN (89): 'test-GLMMadaptive.R:2:1', 'test-averaging.R:1:1',
'test-bias_correction.R:1:1', 'test-blmer.R:262:3', 'test-brms.R:1:1',
'test-betareg.R:197:5', 'test-brms_aterms.R:1:1', 'test-brms_missing.R:1:1',
'test-brms_gr_random_effects.R:1:1', 'test-brms_mm.R:1:1',
'test-brms_von_mises.R:1:1', 'test-clean_names.R:109:3',
'test-clean_parameters.R:1:1', 'test-coxme.R:1:1', 'test-cpglmm.R:152:3',
'test-clmm.R:170:3', 'test-display.R:1:1', 'test-display.R:15:1',
'test-export_table.R:3:1', 'test-export_table.R:7:1',
'test-export_table.R:134:3', 'test-export_table.R:164:3',
'test-export_table.R:193:1', 'test-export_table.R:278:1',
'test-export_table.R:296:3', 'test-export_table.R:328:3',
'test-export_table.R:385:1', 'test-export_table.R:406:3',
'test-export_table.R:470:3', 'test-find_smooth.R:39:3', 'test-fixest.R:2:1',
'test-format_table.R:2:1', 'test-format_table_ci.R:72:1', 'test-gam.R:2:1',
'test-find_random.R:43:3', 'test-get_data.R:507:1',
'test-get_loglikelihood.R:143:3', 'test-get_loglikelihood.R:223:3',
'test-get_predicted.R:2:1', 'test-get_priors.R:1:1',
'test-get_varcov.R:43:3', 'test-get_varcov.R:57:3',
'test-get_datagrid.R:1068:3', 'test-get_datagrid.R:1105:5',
'test-is_converged.R:47:1', 'test-iv_robust.R:120:3', 'test-lavaan.R:1:1',
'test-lcmm.R:1:1', 'test-lme.R:28:3', 'test-lme.R:212:3',
'test-glmmTMB.R:67:3', 'test-glmmTMB.R:767:3', 'test-glmmTMB.R:803:3',
'test-glmmTMB.R:1142:3', 'test-marginaleffects.R:1:1', 'test-mgcv.R:1:1',
'test-mipo.R:1:1', 'test-mlogit.R:1:1', 'test-model_info.R:106:3',
'test-modelbased.R:1:1', 'test-mvrstanarm.R:1:1', 'test-null_model.R:85:3',
'test-panelr-asym.R:165:3', 'test-panelr.R:301:3', 'test-phylolm.R:1:1',
'test-print_parameters.R:1:1', 'test-r2_nakagawa_bernoulli.R:1:1',
'test-r2_nakagawa_beta.R:1:1', 'test-r2_nakagawa_binomial.R:1:1',
'test-r2_nakagawa_gamma.R:1:1', 'test-r2_nakagawa_linear.R:1:1',
'test-r2_nakagawa_negbin.R:1:1', 'test-r2_nakagawa_negbin_zi.R:1:1',
'test-r2_nakagawa_ordered_beta.R:1:1', 'test-r2_nakagawa_poisson.R:1:1',
'test-r2_nakagawa_poisson_zi.R:1:1',
'test-r2_nakagawa_truncated_poisson.R:1:1', 'test-r2_nakagawa_tweedie.R:1:1',
'test-rlmer.R:276:3', 'test-rms.R:1:1', 'test-rqss.R:1:1',
'test-rstanarm.R:1:1', 'test-sdmTMB.R:1:1', 'test-selection.R:2:1',
'test-spatial.R:2:1', 'test-svylme.R:1:1', 'test-tidymodels.R:1:1',
'test-vgam.R:2:1', 'test-weightit.R:1:1'
• On Linux (3): 'test-BayesFactorBF.R:1:1', 'test-MCMCglmm.R:1:1',
'test-get_data.R:161:3'
• Package `logistf` is loaded and breaks `mmrm::mmrm()` (1): 'test-mmrm.R:4:1'
• works interactively (2): 'test-coxph-panel.R:34:3', 'test-coxph.R:38:3'
• {bigglm} is not installed (1): 'test-model_info.R:24:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-feis.R:5:1'): (code run outside of `test_that()`) ──────────────
Error in `list_flatten(dots, fn = is_flattenable)`: `x` must be a list, not a list matrix.
Backtrace:
▆
1. ├─feisr::feis(...) at test-feis.R:5:1
2. │ └─dplyr::bind_rows(rbind(dhat), .id = NULL)
3. │ └─dplyr:::list_flatten(dots, fn = is_flattenable)
4. │ └─vctrs::obj_check_list(x)
5. └─vctrs:::stop_non_list_type(x, y, z)
6. └─cli::cli_abort(...)
7. └─rlang::abort(...)
[ FAIL 1 | WARN 1 | SKIP 96 | PASS 3487 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-linux-x86_64
Version: 1.4.4
Check: tests
Result: ERROR
Running 'testthat.R' [165s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(insight)
> test_check("insight")
Starting 2 test processes.
Saving _problems/test-feis-10.R
> test-find_transformation.R: boundary (singular) fit: see help('isSingular')
> test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 365.2328
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 365.1292
> test-gamlss.R: GAMLSS-RS iteration 3: Global Deviance = 365.1269
> test-gamlss.R: GAMLSS-RS iteration 4: Global Deviance = 365.1268
> test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 5779.746
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 5779.746
> test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 703.1164
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 703.1164
> test-get_model.R: Loading required namespace: GPArotation
> test-get_random.R: boundary (singular) fit: see help('isSingular')
> test-glmmPQL.R: iteration 1
> test-is_converged.R: boundary (singular) fit: see help('isSingular')
> test-mmrm.R: mmrm() registered as emmeans extension
> test-mmrm.R: mmrm() registered as car::Anova extension
> test-model_info.R: boundary (singular) fit: see help('isSingular')
> test-nestedLogit.R: list(work = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L,
> test-nestedLogit.R: 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> test-nestedLogit.R: 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L,
> test-nestedLogit.R: 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,
> test-nestedLogit.R: 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L,
> test-nestedLogit.R: 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L,
> test-nestedLogit.R: 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L
> test-nestedLogit.R: ), full = c(1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L,
> test-nestedLogit.R: 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L,
> test-nestedLogit.R: 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L))
> test-polr.R:
> test-polr.R: Re-fitting to get Hessian
> test-polr.R:
> test-polr.R:
> test-polr.R: Re-fitting to get Hessian
> test-polr.R:
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
[ FAIL 1 | WARN 1 | SKIP 93 | PASS 3586 ]
══ Skipped tests (93) ══════════════════════════════════════════════════════════
• On CRAN (89): 'test-GLMMadaptive.R:2:1', 'test-averaging.R:1:1',
'test-bias_correction.R:1:1', 'test-betareg.R:197:5', 'test-brms.R:1:1',
'test-brms_aterms.R:1:1', 'test-blmer.R:262:3',
'test-brms_gr_random_effects.R:1:1', 'test-brms_missing.R:1:1',
'test-brms_mm.R:1:1', 'test-brms_von_mises.R:1:1',
'test-clean_names.R:109:3', 'test-clean_parameters.R:1:1',
'test-coxme.R:1:1', 'test-cpglmm.R:152:3', 'test-clmm.R:170:3',
'test-display.R:1:1', 'test-display.R:15:1', 'test-export_table.R:3:1',
'test-export_table.R:7:1', 'test-export_table.R:134:3',
'test-export_table.R:164:3', 'test-export_table.R:193:1',
'test-export_table.R:278:1', 'test-export_table.R:296:3',
'test-export_table.R:328:3', 'test-export_table.R:385:1',
'test-export_table.R:406:3', 'test-export_table.R:470:3',
'test-find_smooth.R:39:3', 'test-fixest.R:2:1', 'test-find_random.R:43:3',
'test-format_table.R:2:1', 'test-format_table_ci.R:72:1', 'test-gam.R:2:1',
'test-get_data.R:507:1', 'test-get_loglikelihood.R:143:3',
'test-get_loglikelihood.R:223:3', 'test-get_predicted.R:2:1',
'test-get_priors.R:1:1', 'test-get_varcov.R:43:3', 'test-get_varcov.R:57:3',
'test-get_datagrid.R:1068:3', 'test-get_datagrid.R:1105:5',
'test-is_converged.R:47:1', 'test-iv_robust.R:120:3', 'test-lavaan.R:1:1',
'test-lcmm.R:1:1', 'test-lme.R:28:3', 'test-lme.R:212:3',
'test-glmmTMB.R:67:3', 'test-glmmTMB.R:767:3', 'test-glmmTMB.R:803:3',
'test-glmmTMB.R:1142:3', 'test-marginaleffects.R:1:1', 'test-mgcv.R:1:1',
'test-mipo.R:1:1', 'test-mlogit.R:1:1', 'test-model_info.R:106:3',
'test-modelbased.R:1:1', 'test-mvrstanarm.R:1:1', 'test-null_model.R:85:3',
'test-panelr-asym.R:165:3', 'test-panelr.R:301:3', 'test-phylolm.R:1:1',
'test-print_parameters.R:1:1', 'test-r2_nakagawa_bernoulli.R:1:1',
'test-r2_nakagawa_beta.R:1:1', 'test-r2_nakagawa_binomial.R:1:1',
'test-r2_nakagawa_gamma.R:1:1', 'test-r2_nakagawa_linear.R:1:1',
'test-r2_nakagawa_negbin.R:1:1', 'test-r2_nakagawa_negbin_zi.R:1:1',
'test-r2_nakagawa_ordered_beta.R:1:1', 'test-r2_nakagawa_poisson.R:1:1',
'test-r2_nakagawa_poisson_zi.R:1:1',
'test-r2_nakagawa_truncated_poisson.R:1:1', 'test-r2_nakagawa_tweedie.R:1:1',
'test-rlmer.R:276:3', 'test-rms.R:1:1', 'test-rqss.R:1:1',
'test-rstanarm.R:1:1', 'test-sdmTMB.R:1:1', 'test-selection.R:2:1',
'test-spatial.R:2:1', 'test-svylme.R:1:1', 'test-tidymodels.R:1:1',
'test-vgam.R:2:1', 'test-weightit.R:1:1'
• Package `logistf` is loaded and breaks `mmrm::mmrm()` (1): 'test-mmrm.R:4:1'
• works interactively (2): 'test-coxph-panel.R:34:3', 'test-coxph.R:38:3'
• {bigglm} is not installed (1): 'test-model_info.R:24:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-feis.R:5:1'): (code run outside of `test_that()`) ──────────────
Error in `list_flatten(dots, fn = is_flattenable)`: `x` must be a list, not a list matrix.
Backtrace:
▆
1. ├─feisr::feis(...) at test-feis.R:5:1
2. │ └─dplyr::bind_rows(rbind(dhat), .id = NULL)
3. │ └─dplyr:::list_flatten(dots, fn = is_flattenable)
4. │ └─vctrs::obj_check_list(x)
5. └─vctrs:::stop_non_list_type(x, y, z)
6. └─cli::cli_abort(...)
7. └─rlang::abort(...)
[ FAIL 1 | WARN 1 | SKIP 93 | PASS 3586 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-windows-x86_64
Version: 1.4.4
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: 'fungible'
Flavor: r-oldrel-windows-x86_64
Version: 1.4.4
Check: tests
Result: ERROR
Running 'testthat.R' [222s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(insight)
> test_check("insight")
Starting 2 test processes.
Saving _problems/test-feis-10.R
> test-find_transformation.R: boundary (singular) fit: see help('isSingular')
> test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 365.2328
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 365.1292
> test-gamlss.R: GAMLSS-RS iteration 3: Global Deviance = 365.1269
> test-gamlss.R: GAMLSS-RS iteration 4: Global Deviance = 365.1268
> test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 5779.746
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 5779.746
> test-gamlss.R: GAMLSS-RS iteration 1: Global Deviance = 703.1164
> test-gamlss.R: GAMLSS-RS iteration 2: Global Deviance = 703.1164
> test-get_model.R: Loading required namespace: GPArotation
> test-get_random.R: boundary (singular) fit: see help('isSingular')
> test-glmmPQL.R: iteration 1
> test-is_converged.R: boundary (singular) fit: see help('isSingular')
> test-mmrm.R: mmrm() registered as emmeans extension
> test-mmrm.R: mmrm() registered as car::Anova extension
> test-model_info.R: boundary (singular) fit: see help('isSingular')
> test-nestedLogit.R: list(work = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L,
> test-nestedLogit.R: 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> test-nestedLogit.R: 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L,
> test-nestedLogit.R: 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,
> test-nestedLogit.R: 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L,
> test-nestedLogit.R: 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L,
> test-nestedLogit.R: 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L
> test-nestedLogit.R: ), full = c(1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L,
> test-nestedLogit.R: 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L,
> test-nestedLogit.R: 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L))
> test-polr.R:
> test-polr.R: Re-fitting to get Hessian
> test-polr.R:
> test-polr.R:
> test-polr.R: Re-fitting to get Hessian
> test-polr.R:
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
> test-survey_coxph.R: Stratified Independent Sampling design (with replacement)
> test-survey_coxph.R: dpbc <- survey::svydesign(
> test-survey_coxph.R: id = ~1,
> test-survey_coxph.R: prob = ~randprob,
> test-survey_coxph.R: strata = ~edema,
> test-survey_coxph.R: data = subset(pbc, randomized)
> test-survey_coxph.R: )
[ FAIL 1 | WARN 1 | SKIP 96 | PASS 3579 ]
══ Skipped tests (96) ══════════════════════════════════════════════════════════
• On CRAN (89): 'test-GLMMadaptive.R:2:1', 'test-averaging.R:1:1',
'test-bias_correction.R:1:1', 'test-betareg.R:197:5', 'test-brms.R:1:1',
'test-brms_aterms.R:1:1', 'test-blmer.R:262:3',
'test-brms_gr_random_effects.R:1:1', 'test-brms_missing.R:1:1',
'test-brms_mm.R:1:1', 'test-brms_von_mises.R:1:1',
'test-clean_names.R:109:3', 'test-clean_parameters.R:1:1',
'test-coxme.R:1:1', 'test-cpglmm.R:152:3', 'test-clmm.R:170:3',
'test-display.R:1:1', 'test-display.R:15:1', 'test-export_table.R:3:1',
'test-export_table.R:7:1', 'test-export_table.R:134:3',
'test-export_table.R:164:3', 'test-export_table.R:193:1',
'test-export_table.R:278:1', 'test-export_table.R:296:3',
'test-export_table.R:328:3', 'test-export_table.R:385:1',
'test-export_table.R:406:3', 'test-export_table.R:470:3',
'test-find_smooth.R:39:3', 'test-find_random.R:43:3', 'test-fixest.R:2:1',
'test-format_table.R:2:1', 'test-format_table_ci.R:72:1', 'test-gam.R:2:1',
'test-get_data.R:507:1', 'test-get_loglikelihood.R:143:3',
'test-get_loglikelihood.R:223:3', 'test-get_predicted.R:2:1',
'test-get_priors.R:1:1', 'test-get_varcov.R:43:3', 'test-get_varcov.R:57:3',
'test-get_datagrid.R:1068:3', 'test-get_datagrid.R:1105:5',
'test-is_converged.R:47:1', 'test-iv_robust.R:120:3', 'test-lavaan.R:1:1',
'test-lcmm.R:1:1', 'test-lme.R:28:3', 'test-lme.R:212:3',
'test-glmmTMB.R:67:3', 'test-glmmTMB.R:767:3', 'test-glmmTMB.R:803:3',
'test-glmmTMB.R:1142:3', 'test-marginaleffects.R:1:1', 'test-mgcv.R:1:1',
'test-mipo.R:1:1', 'test-mlogit.R:1:1', 'test-model_info.R:106:3',
'test-modelbased.R:1:1', 'test-mvrstanarm.R:1:1', 'test-null_model.R:85:3',
'test-panelr-asym.R:165:3', 'test-panelr.R:301:3', 'test-phylolm.R:1:1',
'test-print_parameters.R:1:1', 'test-r2_nakagawa_bernoulli.R:1:1',
'test-r2_nakagawa_beta.R:1:1', 'test-r2_nakagawa_binomial.R:1:1',
'test-r2_nakagawa_gamma.R:1:1', 'test-r2_nakagawa_linear.R:1:1',
'test-r2_nakagawa_negbin.R:1:1', 'test-r2_nakagawa_negbin_zi.R:1:1',
'test-r2_nakagawa_ordered_beta.R:1:1', 'test-r2_nakagawa_poisson.R:1:1',
'test-r2_nakagawa_poisson_zi.R:1:1',
'test-r2_nakagawa_truncated_poisson.R:1:1', 'test-r2_nakagawa_tweedie.R:1:1',
'test-rlmer.R:276:3', 'test-rms.R:1:1', 'test-rqss.R:1:1',
'test-rstanarm.R:1:1', 'test-sdmTMB.R:1:1', 'test-selection.R:2:1',
'test-spatial.R:2:1', 'test-svylme.R:1:1', 'test-tidymodels.R:1:1',
'test-vgam.R:2:1', 'test-weightit.R:1:1'
• Package `logistf` is loaded and breaks `mmrm::mmrm()` (1): 'test-mmrm.R:4:1'
• getRversion() < "4.5.0" is TRUE (3): 'test-aov.R:2:3', 'test-dbart.R:2:1',
'test-get_modelmatrix.R:127:3'
• works interactively (2): 'test-coxph-panel.R:34:3', 'test-coxph.R:38:3'
• {bigglm} is not installed (1): 'test-model_info.R:24:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-feis.R:5:1'): (code run outside of `test_that()`) ──────────────
Error in `list_flatten(dots, fn = is_flattenable)`: `x` must be a list, not a list matrix.
Backtrace:
▆
1. ├─feisr::feis(...) at test-feis.R:5:1
2. │ └─dplyr::bind_rows(rbind(dhat), .id = NULL)
3. │ └─dplyr:::list_flatten(dots, fn = is_flattenable)
4. │ └─vctrs::obj_check_list(x)
5. └─vctrs:::stop_non_list_type(x, y, z)
6. └─cli::cli_abort(...)
7. └─rlang::abort(...)
[ FAIL 1 | WARN 1 | SKIP 96 | PASS 3579 ]
Error:
! Test failures.
Execution halted
Flavor: r-oldrel-windows-x86_64