Last updated on 2025-12-04 09:49:54 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2.3.1 | 14.33 | 237.26 | 251.59 | OK | |
| r-devel-linux-x86_64-debian-gcc | 2.3.1 | 8.18 | 149.23 | 157.41 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 2.3.1 | 66.00 | 350.93 | 416.93 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 2.3.1 | 91.00 | 331.31 | 422.31 | ERROR | |
| r-devel-windows-x86_64 | 2.3.1 | 15.00 | 244.00 | 259.00 | OK | |
| r-patched-linux-x86_64 | 2.3.1 | 12.35 | 214.64 | 226.99 | ERROR | |
| r-release-linux-x86_64 | 2.3.1 | 11.56 | 223.55 | 235.11 | OK | |
| r-release-macos-arm64 | 2.3.1 | OK | ||||
| r-release-macos-x86_64 | 2.3.1 | 9.00 | 218.00 | 227.00 | OK | |
| r-release-windows-x86_64 | 2.3.1 | 15.00 | 240.00 | 255.00 | OK | |
| r-oldrel-macos-arm64 | 2.3.1 | OK | ||||
| r-oldrel-macos-x86_64 | 2.3.1 | 12.00 | 125.00 | 137.00 | OK | |
| r-oldrel-windows-x86_64 | 2.3.1 | 20.00 | 339.00 | 359.00 | ERROR |
Version: 2.3.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [82s/109s]
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
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
Re-fitting to get Hessian
Re-fitting to get Hessian
Re-fitting to get Hessian
Could not compute variance-covariance matrix of predictions. No
confidence intervals are returned.
Saving _problems/test-poly-zeroinf-27.R
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 496 ]
══ Skipped tests (70) ══════════════════════════════════════════════════════════
• On CRAN (58): '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-list_terms.R:32:1', '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:13:5',
'test-polr.R:43:5', '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-margin.R:1:1',
'test-test_predictions-mixed.R:1:1', 'test-test_predictions_emmeans.R:58:1',
'test-test_predictions_emmeans.R:73:1',
'test-test_predictions_ggeffects.R:115:1',
'test-test_predictions_ggeffects.R:164:1',
'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'
• 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 ════════════════════════════════════════════════════════════════
── Error ('test-poly-zeroinf.R:27:3'): ggpredict, glmmTMB ──────────────────────
Error in `exp(prdat.sim$cond)`: non-numeric argument to mathematical function
Backtrace:
▆
1. └─ggeffects::ggpredict(...) at test-poly-zeroinf.R:27:3
2. ├─base::do.call(ggpredict_helper, full_args)
3. └─ggeffects (local) `<fn>`(...)
4. ├─ggeffects::get_predictions(...)
5. └─ggeffects:::get_predictions.glmmTMB(...)
[ FAIL 1 | WARN 0 | SKIP 70 | PASS 496 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 2.3.1
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
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
Re-fitting to get Hessian
Re-fitting to get Hessian
Re-fitting to get Hessian
Could not compute variance-covariance matrix of predictions. No
confidence intervals are returned.
Saving _problems/test-poly-zeroinf-27.R
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 496 ]
══ Skipped tests (70) ══════════════════════════════════════════════════════════
• On CRAN (58): '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-list_terms.R:32:1', '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:13:5',
'test-polr.R:43:5', '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-margin.R:1:1',
'test-test_predictions-mixed.R:1:1', 'test-test_predictions_emmeans.R:58:1',
'test-test_predictions_emmeans.R:73:1',
'test-test_predictions_ggeffects.R:115:1',
'test-test_predictions_ggeffects.R:164:1',
'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'
• 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 ════════════════════════════════════════════════════════════════
── Error ('test-poly-zeroinf.R:27:3'): ggpredict, glmmTMB ──────────────────────
Error in `exp(prdat.sim$cond)`: non-numeric argument to mathematical function
Backtrace:
▆
1. └─ggeffects::ggpredict(...) at test-poly-zeroinf.R:27:3
2. ├─base::do.call(ggpredict_helper, full_args)
3. └─ggeffects (local) `<fn>`(...)
4. ├─ggeffects::get_predictions(...)
5. └─ggeffects:::get_predictions.glmmTMB(...)
[ FAIL 1 | WARN 0 | SKIP 70 | PASS 496 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 2.3.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [4m/14m]
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
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
Re-fitting to get Hessian
Re-fitting to get Hessian
Re-fitting to get Hessian
Could not compute variance-covariance matrix of predictions. No
confidence intervals are returned.
Saving _problems/test-poly-zeroinf-27.R
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 496 ]
══ Skipped tests (70) ══════════════════════════════════════════════════════════
• On CRAN (58): '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-list_terms.R:32:1', '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:13:5',
'test-polr.R:43:5', '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-margin.R:1:1',
'test-test_predictions-mixed.R:1:1', 'test-test_predictions_emmeans.R:58:1',
'test-test_predictions_emmeans.R:73:1',
'test-test_predictions_ggeffects.R:115:1',
'test-test_predictions_ggeffects.R:164:1',
'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'
• 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 ════════════════════════════════════════════════════════════════
── Error ('test-poly-zeroinf.R:27:3'): ggpredict, glmmTMB ──────────────────────
Error in `exp(prdat.sim$cond)`: non-numeric argument to mathematical function
Backtrace:
▆
1. └─ggeffects::ggpredict(...) at test-poly-zeroinf.R:27:3
2. ├─base::do.call(ggpredict_helper, full_args)
3. └─ggeffects (local) `<fn>`(...)
4. ├─ggeffects::get_predictions(...)
5. └─ggeffects:::get_predictions.glmmTMB(...)
[ FAIL 1 | WARN 0 | SKIP 70 | PASS 496 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 2.3.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [124s/171s]
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
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
Re-fitting to get Hessian
Re-fitting to get Hessian
Re-fitting to get Hessian
Could not compute variance-covariance matrix of predictions. No
confidence intervals are returned.
Saving _problems/test-poly-zeroinf-27.R
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 496 ]
══ Skipped tests (70) ══════════════════════════════════════════════════════════
• On CRAN (58): '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-list_terms.R:32:1', '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:13:5',
'test-polr.R:43:5', '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-margin.R:1:1',
'test-test_predictions-mixed.R:1:1', 'test-test_predictions_emmeans.R:58:1',
'test-test_predictions_emmeans.R:73:1',
'test-test_predictions_ggeffects.R:115:1',
'test-test_predictions_ggeffects.R:164:1',
'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'
• 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 ════════════════════════════════════════════════════════════════
── Error ('test-poly-zeroinf.R:27:3'): ggpredict, glmmTMB ──────────────────────
Error in `exp(prdat.sim$cond)`: non-numeric argument to mathematical function
Backtrace:
▆
1. └─ggeffects::ggpredict(...) at test-poly-zeroinf.R:27:3
2. ├─base::do.call(ggpredict_helper, full_args)
3. └─ggeffects (local) `<fn>`(...)
4. ├─ggeffects::get_predictions(...)
5. └─ggeffects:::get_predictions.glmmTMB(...)
[ FAIL 1 | WARN 0 | SKIP 70 | PASS 496 ]
Error:
! Test failures.
Execution halted
Flavor: r-patched-linux-x86_64
Version: 2.3.1
Check: tests
Result: ERROR
Running 'testthat.R' [200s]
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
Re-fitting to get Hessian
Re-fitting to get Hessian
Re-fitting to get Hessian
Saving _problems/test-poly-zeroinf-27.R
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 71 | PASS 565 ]
══ Skipped tests (71) ══════════════════════════════════════════════════════════
• !interactive() is TRUE (1): 'test-print_test_predictions-ordinal.R:7:1'
• On CRAN (68): '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:4:1', '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-list_terms.R:32:1', '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:13:5',
'test-polr.R:43:5', '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:4:1',
'test-print_subsets.R:9:1', 'test-print_test_predictions.R:18:1',
'test-print_test_predictions.R:22:1', 'test-print_test_predictions.R:27:1',
'test-print_test_predictions.R:60:1', 'test-print_test_predictions.R:72:1',
'test-print_test_predictions.R:82:1', 'test-print_test_predictions.R:99:1',
'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-margin.R:1:1',
'test-test_predictions-mixed.R:1:1', 'test-test_predictions_emmeans.R:58:1',
'test-test_predictions_emmeans.R:73:1',
'test-test_predictions_ggeffects.R:115:1',
'test-test_predictions_ggeffects.R:164:1',
'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-poly-zeroinf.R:27:3'): ggpredict, glmmTMB ──────────────────────
Error in `exp(prdat.sim$cond)`: non-numeric argument to mathematical function
Backtrace:
▆
1. └─ggeffects::ggpredict(...) at test-poly-zeroinf.R:27:3
2. ├─base::do.call(ggpredict_helper, full_args)
3. └─ggeffects (local) `<fn>`(...)
4. ├─ggeffects::get_predictions(...)
5. └─ggeffects:::get_predictions.glmmTMB(...)
[ FAIL 1 | WARN 0 | SKIP 71 | PASS 565 ]
Error:
! Test failures.
Execution halted
Flavor: r-oldrel-windows-x86_64
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