Last updated on 2025-12-03 23:51:41 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 | 95.00 | 301.65 | 396.65 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 2.3.1 | 65.00 | 320.77 | 385.77 | 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 | 329.00 | 349.00 | OK |
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’ [203s/257s]
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
Saving _problems/test-rq-7.R
Saving _problems/test-rq-30.R
Saving _problems/test-rq-50.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 4 | WARN 3 | SKIP 70 | PASS 488 ]
══ 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(...)
── Error ('test-rq.R:7:3'): ggpredict, rq ──────────────────────────────────────
Error in `is.data.frame(data)`: lazy-load database '/data/gannet/ripley/R/R-clang/library/datasets/data/Rdata.rdb' is corrupt
Backtrace:
▆
1. ├─stats::model.frame(...)
2. └─stats::model.frame.default(...)
3. └─base::is.data.frame(data)
── Error ('test-rq.R:26:3'): ggpredict, rqs, multiple taus ─────────────────────
Error in `is.data.frame(data)`: lazy-load database '/data/gannet/ripley/R/R-clang/library/datasets/data/Rdata.rdb' is corrupt
Backtrace:
▆
1. ├─stats::model.frame(...)
2. └─stats::model.frame.default(...)
3. └─base::is.data.frame(data)
── Error ('test-rq.R:46:3'): ggemmeans, rqs, multiple taus ─────────────────────
Error in `is.data.frame(data)`: lazy-load database '/data/gannet/ripley/R/R-clang/library/datasets/data/Rdata.rdb' is corrupt
Backtrace:
▆
1. ├─stats::model.frame(...)
2. └─stats::model.frame.default(...)
3. └─base::is.data.frame(data)
[ FAIL 4 | WARN 3 | SKIP 70 | PASS 488 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 2.3.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [194s/234s]
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