Last updated on 2025-08-30 08:49:21 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2.3.1 | 12.83 | 228.59 | 241.42 | OK | |
| r-devel-linux-x86_64-debian-gcc | 2.3.1 | 8.44 | 145.02 | 153.46 | OK | |
| r-devel-linux-x86_64-fedora-clang | 2.3.1 | 431.18 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 2.3.1 | 394.15 | OK | |||
| r-devel-windows-x86_64 | 2.3.1 | 15.00 | 238.00 | 253.00 | OK | |
| r-patched-linux-x86_64 | 2.3.1 | 13.74 | 218.30 | 232.04 | OK | |
| r-release-linux-x86_64 | 2.3.1 | 12.68 | 215.93 | 228.61 | OK | |
| r-release-macos-arm64 | 2.3.1 | 51.00 | OK | |||
| r-release-macos-x86_64 | 2.3.1 | 227.00 | OK | |||
| r-release-windows-x86_64 | 2.3.1 | 15.00 | 246.00 | 261.00 | OK | |
| r-oldrel-macos-arm64 | 2.3.1 | 119.00 | OK | |||
| r-oldrel-macos-x86_64 | 2.3.1 | 137.00 | OK | |||
| r-oldrel-windows-x86_64 | 2.3.1 | 21.00 | 319.00 | 340.00 | ERROR |
Version: 2.3.1
Check: tests
Result: ERROR
Running 'testthat.R' [191s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(ggeffects)
> test_check("ggeffects")
(Intercept) tensionM tensionH
36.38889 -10.00000 -14.72222
You are calculating adjusted predictions on the population-level (i.e.
`type = "fixed"`) for a *generalized* linear mixed model.
This may produce biased estimates due to Jensen's inequality. Consider
setting `bias_correction = TRUE` to correct for this bias.
See also the documentation of the `bias_correction` argument.
Not all rows are shown in the output. Use `print(..., n = Inf)` to show
all rows.
Not all rows are shown in the output. Use `print(..., n = Inf)` to show
all rows.
Running model...
Done!
Some of the focal terms are of type `character`. This may lead to
unexpected results. It is recommended to convert these variables to
factors before fitting the model.
The following variables are of type character: `brand`
Some of the focal terms are of type `character`. This may lead to
unexpected results. It is recommended to convert these variables to
factors before fitting the model.
The following variables are of type character: `brand`
Some of the focal terms are of type `character`. This may lead to
unexpected results. It is recommended to convert these variables to
factors before fitting the model.
The following variables are of type character: `brand`
Iteration 1 - deviance = 39.74973 - criterion = 0.8590917
Iteration 2 - deviance = 10.50328 - criterion = 2.758244
Iteration 3 - deviance = 9.231325 - criterion = 0.1363107
Iteration 4 - deviance = 9.227742 - criterion = 0.0003840654
Iteration 5 - deviance = 9.227742 - criterion = 3.446463e-09
converged
NOTE: Results may be misleading due to involvement in interactions
NOTE: Results may be misleading due to involvement in interactions
# weights: 16 (9 variable)
initial value 1149.238025
iter 10 value 1015.404427
final value 1013.443395
converged
Re-fitting to get Hessian
Re-fitting to get Hessian
Re-fitting to get Hessian
Model contains splines or polynomial terms. Consider using `terms="mined
[all]"` to get smooth plots. See also package-vignette 'Adjusted
Predictions at Specific Values'.
Model contains splines or polynomial terms. Consider using `terms="cover
[all]"` to get smooth plots. See also package-vignette 'Adjusted
Predictions at Specific Values'.
Model contains splines or polynomial terms. Consider using `terms="mined
[all]"` to get smooth plots. See also package-vignette 'Adjusted
Predictions at Specific Values'.
Model contains splines or polynomial terms. Consider using `terms="cover
[all]"` to get smooth plots. See also package-vignette 'Adjusted
Predictions at Specific Values'.
NOTE: Results may be misleading due to involvement in interactions
Can't compute adjusted predictions, `effects::Effect()` returned an error.
Reason: Invalid operation on a survival time
You may try `ggpredict()` or `ggemmeans()`.
Can't compute adjusted predictions, `effects::Effect()` returned an error.
Reason: non-conformable arguments
You may try `ggpredict()` or `ggemmeans()`.
[ FAIL 1 | WARN 0 | SKIP 70 | PASS 554 ]
══ Skipped tests (70) ══════════════════════════════════════════════════════════
• !interactive() is TRUE (1): 'test-print_test_predictions-ordinal.R:7:1'
• On CRAN (67): 'test-MCMCglmm.R:1:1', 'test-MixMod.R:1:1',
'test-averaging.R:1:1', 'test-avg_predictions.R:1:1',
'test-backtransform_response.R:1:1', 'test-bias_correction.R:1:1',
'test-brglm.R:24:3', 'test-brms-categ-cum.R:1:1',
'test-brms-monotonic.R:1:1', 'test-brms-ppd.R:1:1', 'test-brms-trial.R:1:1',
'test-clean_vars.R:1:1', 'test-clm.R:1:1', 'test-clm2.R:1:1',
'test-clmm.R:1:1', 'test-condition.R:1:1', 'test-correct_se_sorting.R:1:1',
'test-decimals.R:1:1', 'test-fixest.R:1:1', 'test-focal_only_random.R:1:1',
'test-format.R:1:1', 'test-gamlss.R:1:1', 'test-gamm4.R:1:1',
'test-glmer.R:2:1', 'test-glmmTMB.R:1:1', 'test-interval_re.R:1:1',
'test-ivreg.R:1:1', 'test-list_terms.R:36:3', 'test-lmer.R:1:1',
'test-mgcv.R:1:1', 'test-plot-from-vignettes.R:5:1',
'test-plot-ordinal-latent.R:1:1', 'test-plot-show_data.R:1:1',
'test-plot-survival.R:2:1', 'test-plot.R:1:1', 'test-polr.R:21:7',
'test-polr.R:60:7', 'test-pool_comparisons.R:1:1', 'test-print.R:1:1',
'test-print_digits.R:1:1', 'test-print_md.R:1:1', 'test-print_subsets.R:7:3',
'test-print_subsets.R:12:3', 'test-print_test_predictions.R:20:3',
'test-print_test_predictions.R:24:3', 'test-print_test_predictions.R:37:3',
'test-print_test_predictions.R:68:3', 'test-print_test_predictions.R:76:3',
'test-print_test_predictions.R:107:5', 'test-print_zero_inflation.R:1:1',
'test-resid_over_grid.R:33:5', 'test-rstanarm-ppd.R:1:1',
'test-rstanarm.R:1:1', 'test-sdmTMB.R:1:1', 'test-simulate.R:1:1',
'test-test_predictions-margin.R:1:1', 'test-test_predictions-mixed.R:1:1',
'test-test_predictions_emmeans.R:68:3',
'test-test_predictions_emmeans.R:103:3',
'test-test_predictions_ggeffects.R:130:3',
'test-test_predictions_ggeffects.R:174:3',
'test-test_predictions_ggeffects.R:183:3',
'test-test_predictions_ggeffects.R:226:5', 'test-vcov.R:1:1',
'test-vglm.R:1:1', 'test-zeroinfl.R:27:3', 'test-zi_prob.R:1:1'
• empty test (2): 'test-polr.R:136:5', 'test-polr.R:142:5'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-print_test_predictions.R:93:3'): glmmTMB, orderedbeta ──────────
Error: Invalid option for argument `component`. Please use one of the following
options: "conditional", "zero_inflated", "zi", "dispersion" or "all"
Backtrace:
▆
1. └─ggeffects::predict_response(m, "gear", margin = "average") at test-print_test_predictions.R:93:3
2. └─ggeffects::ggaverage(...)
3. └─ggeffects:::.call_me("avg_predictions", me_args, dot_args, include_random = insight::is_mixed_model(model))
4. ├─base::suppressMessages(...)
5. │ └─base::withCallingHandlers(...)
6. ├─base::suppressWarnings(...)
7. │ └─base::withCallingHandlers(...)
8. ├─base::do.call(get(fun, asNamespace("marginaleffects")), all_args)
9. ├─marginaleffects (local) `<fn>`(...)
10. │ └─base::eval.parent(call_attr)
11. │ └─base::eval(expr, p)
12. │ └─base::eval(expr, p)
13. └─marginaleffects::predictions(...)
14. ├─marginaleffects::get_vcov(...)
15. └─marginaleffects:::get_vcov.glmmTMB(...)
16. ├─insight::get_varcov(model, vcov = vcov, component = "full")
17. └─insight:::get_varcov.glmmTMB(model, vcov = vcov, component = "full")
18. └─insight::validate_argument(...)
19. └─insight::format_error(msg)
20. └─insight::format_alert(..., type = "error")
[ FAIL 1 | WARN 0 | SKIP 70 | PASS 554 ]
Error: Test failures
Execution halted
Flavor: r-oldrel-windows-x86_64