CRAN Package Check Results for Package ggeffects

Last updated on 2025-03-11 12:52:54 CET.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	2.2.0	13.89	227.42	241.31	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

Check Details

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