Last updated on 2025-03-11 05:50:32 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2.2.0 | 13.33 | 226.34 | 239.67 | OK | |
| r-devel-linux-x86_64-debian-gcc | 2.2.0 | 8.33 | 144.48 | 152.81 | OK | |
| r-devel-linux-x86_64-fedora-clang | 2.2.0 | 430.63 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 2.2.0 | 395.30 | ERROR | |||
| r-devel-macos-arm64 | 2.2.0 | 62.00 | OK | |||
| r-devel-macos-x86_64 | 2.2.0 | 121.00 | OK | |||
| r-devel-windows-x86_64 | 2.2.0 | 15.00 | 247.00 | 262.00 | OK | |
| r-patched-linux-x86_64 | 2.2.0 | 14.70 | 211.25 | 225.95 | OK | |
| r-release-linux-x86_64 | 2.2.0 | 11.01 | 209.18 | 220.19 | OK | |
| r-release-macos-arm64 | 2.2.0 | 55.00 | OK | |||
| r-release-macos-x86_64 | 2.2.0 | 214.00 | OK | |||
| r-release-windows-x86_64 | 2.2.0 | 14.00 | 243.00 | 257.00 | OK | |
| r-oldrel-macos-arm64 | 2.2.0 | 61.00 | OK | |||
| r-oldrel-macos-x86_64 | 2.2.0 | 118.00 | OK | |||
| r-oldrel-windows-x86_64 | 2.2.0 | 19.00 | 306.00 | 325.00 | OK |
Version: 2.2.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [4m/11m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(ggeffects)
> test_check("ggeffects")
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
Data were 'prettified'. Consider using `terms="price [all]"` to get
smooth plots.
NOTE: Results may be misleading due to involvement in interactions
NOTE: Results may be misleading due to involvement in interactions
Re-fitting to get Hessian
Re-fitting to get Hessian
Could not compute variance-covariance matrix of predictions. No
confidence intervals are returned.
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'.
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 10 | SKIP 72 | PASS 491 ]
══ Skipped tests (72) ══════════════════════════════════════════════════════════
• On CRAN (60): '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-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-johnson_neyman.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_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-formula.R:1:1',
'test-test_predictions-margin.R:1:1', 'test-test_predictions-mixed.R:1:1',
'test-test_predictions_emmeans.R:75:3',
'test-test_predictions_emmeans.R:110:3',
'test-test_predictions_ggeffects.R:140:3',
'test-test_predictions_ggeffects.R:184:3',
'test-test_predictions_ggeffects.R:193:3',
'test-test_predictions_ggeffects.R:236:5', 'test-vcov.R:1:1',
'test-vglm.R:1:1', 'test-zeroinfl.R:27:3', 'test-zi_prob.R:1:1'
• On Linux (10): 'test-brglm.R:1:1', 'test-ci_backticks-names.R:1:1',
'test-emmeans-weights.R:1:1', 'test-gee.R:1:1', 'test-ggaverage.R:1:1',
'test-glm.R:1:1', 'test-ordinal.R:1:1', 'test-print_subsets.R:1:1',
'test-print_test_predictions-ordinal.R:1:1',
'test-print_test_predictions.R:1:1'
• empty test (2): 'test-polr.R:136:5', 'test-polr.R:142:5'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-betareg.R:52:3'): ggpredict ──────────────────────────────────
out$Difference (`actual`) not equal to 0.00123838580671709 (`expected`).
`actual`: 0.026
`expected`: 0.001
[ FAIL 1 | WARN 10 | SKIP 72 | PASS 491 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 2.2.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [202s/269s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(ggeffects)
> test_check("ggeffects")
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
Data were 'prettified'. Consider using `terms="price [all]"` to get
smooth plots.
NOTE: Results may be misleading due to involvement in interactions
NOTE: Results may be misleading due to involvement in interactions
Re-fitting to get Hessian
Re-fitting to get Hessian
Could not compute variance-covariance matrix of predictions. No
confidence intervals are returned.
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'.
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 9 | SKIP 72 | PASS 491 ]
══ Skipped tests (72) ══════════════════════════════════════════════════════════
• On CRAN (60): '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-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-johnson_neyman.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_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-formula.R:1:1',
'test-test_predictions-margin.R:1:1', 'test-test_predictions-mixed.R:1:1',
'test-test_predictions_emmeans.R:75:3',
'test-test_predictions_emmeans.R:110:3',
'test-test_predictions_ggeffects.R:140:3',
'test-test_predictions_ggeffects.R:184:3',
'test-test_predictions_ggeffects.R:193:3',
'test-test_predictions_ggeffects.R:236:5', 'test-vcov.R:1:1',
'test-vglm.R:1:1', 'test-zeroinfl.R:27:3', 'test-zi_prob.R:1:1'
• On Linux (10): 'test-brglm.R:1:1', 'test-ci_backticks-names.R:1:1',
'test-emmeans-weights.R:1:1', 'test-gee.R:1:1', 'test-ggaverage.R:1:1',
'test-glm.R:1:1', 'test-ordinal.R:1:1', 'test-print_subsets.R:1:1',
'test-print_test_predictions-ordinal.R:1:1',
'test-print_test_predictions.R:1:1'
• empty test (2): 'test-polr.R:136:5', 'test-polr.R:142:5'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-betareg.R:52:3'): ggpredict ──────────────────────────────────
out$Difference (`actual`) not equal to 0.00123838580671709 (`expected`).
`actual`: 0.026
`expected`: 0.001
[ FAIL 1 | WARN 9 | SKIP 72 | PASS 491 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc