CRAN Package Check Results for Package ggeffects

Last updated on 2024-05-18 11:51:14 CEST.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	1.5.2	14.77	277.99	292.76	OK
r-devel-linux-x86_64-debian-gcc	1.5.2	11.22	238.71	249.93	OK
r-devel-linux-x86_64-fedora-clang	1.5.2			376.85	OK
r-devel-linux-x86_64-fedora-gcc	1.5.2			369.48	OK
r-devel-windows-x86_64	1.5.2	11.00	247.00	258.00	ERROR
r-patched-linux-x86_64	1.5.2	13.33	288.46	301.79	OK
r-release-linux-x86_64	1.5.2	12.17	293.62	305.79	NOTE
r-release-macos-arm64	1.5.2			72.00	OK
r-release-macos-x86_64	1.5.2			178.00	OK
r-release-windows-x86_64	1.5.2	13.00	246.00	259.00	ERROR
r-oldrel-macos-arm64	1.5.2			80.00	OK
r-oldrel-macos-x86_64	1.5.2			174.00	OK
r-oldrel-windows-x86_64	1.5.2	17.00	308.00	325.00	ERROR

Check Details

Version: 1.5.2
Check: tests
Result: ERROR Running 'testthat.R' [144s] 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 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. 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 Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. 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'. 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 67 | PASS 607 ] ══ Skipped tests (67) ══════════════════════════════════════════════════════════ • On CRAN (64): 'test-MCMCglmm.R:1:1', 'test-MixMod.R:1:1', 'test-avg_predictions.R:24:3', 'test-avg_predictions.R:79:5', 'test-brms-categ-cum.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-correct_se_sorting.R:1:1', 'test-decimals.R:1:1', 'test-fixest.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_numcat.R:1:1', 'test-list_terms.R:36:3', 'test-lmer.R:1:1', 'test-mgcv.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:6:3', 'test-print_subsets.R:11:3', 'test-print_test_predictions-ordinal.R:14:3', 'test-print_test_predictions.R:20:3', 'test-print_test_predictions.R:24:3', 'test-print_test_predictions.R:28:3', 'test-print_test_predictions.R:32:3', 'test-print_test_predictions.R:36:3', 'test-print_test_predictions.R:40:3', 'test-print_test_predictions.R:44:3', 'test-print_test_predictions.R:49:3', 'test-print_test_predictions.R:53:3', 'test-print_test_predictions.R:57:3', 'test-print_test_predictions.R:61:3', 'test-print_test_predictions.R:65:3', 'test-print_test_predictions.R:172:3', 'test-print_test_predictions.R:231:3', 'test-print_test_predictions.R:240:3', 'test-print_test_predictions.R:249:3', 'test-print_test_predictions.R:266:3', '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:126:3', 'test-test_predictions_emmeans.R:161:3', 'test-vcov.R:1:1', 'test-vglm.R:1:1', 'test-zeroinfl.R:27:3', 'test-zi_prob.R:1:1' • empty test (3): 'test-plot.R:11:1', 'test-polr.R:136:5', 'test-polr.R:142:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-ordinal.R:39:3'): print ggpredict ordinal outcome ──────────── out4$response.level (`actual`) not identical to out1$response.level (`expected`). `actual` is an S3 object of class <factor>, an integer vector `expected` is a character vector ('definitely', 'probably', 'probably not', 'definitely not', 'definitely', ...) [ FAIL 1 | WARN 0 | SKIP 67 | PASS 607 ] Error: Test failures Execution halted Flavor: r-devel-windows-x86_64

Version: 1.5.2
Check: package dependencies
Result: NOTE Package suggested but not available for checking: ‘rstanarm’ Flavor: r-release-linux-x86_64

Version: 1.5.2
Check: tests
Result: ERROR Running 'testthat.R' [143s] 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 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. 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 Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. 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'. 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 67 | PASS 607 ] ══ Skipped tests (67) ══════════════════════════════════════════════════════════ • On CRAN (64): 'test-MCMCglmm.R:1:1', 'test-MixMod.R:1:1', 'test-avg_predictions.R:24:3', 'test-avg_predictions.R:79:5', 'test-brms-categ-cum.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-correct_se_sorting.R:1:1', 'test-decimals.R:1:1', 'test-fixest.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_numcat.R:1:1', 'test-list_terms.R:36:3', 'test-lmer.R:1:1', 'test-mgcv.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:6:3', 'test-print_subsets.R:11:3', 'test-print_test_predictions-ordinal.R:14:3', 'test-print_test_predictions.R:20:3', 'test-print_test_predictions.R:24:3', 'test-print_test_predictions.R:28:3', 'test-print_test_predictions.R:32:3', 'test-print_test_predictions.R:36:3', 'test-print_test_predictions.R:40:3', 'test-print_test_predictions.R:44:3', 'test-print_test_predictions.R:49:3', 'test-print_test_predictions.R:53:3', 'test-print_test_predictions.R:57:3', 'test-print_test_predictions.R:61:3', 'test-print_test_predictions.R:65:3', 'test-print_test_predictions.R:172:3', 'test-print_test_predictions.R:231:3', 'test-print_test_predictions.R:240:3', 'test-print_test_predictions.R:249:3', 'test-print_test_predictions.R:266:3', '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:126:3', 'test-test_predictions_emmeans.R:161:3', 'test-vcov.R:1:1', 'test-vglm.R:1:1', 'test-zeroinfl.R:27:3', 'test-zi_prob.R:1:1' • empty test (3): 'test-plot.R:11:1', 'test-polr.R:136:5', 'test-polr.R:142:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-ordinal.R:39:3'): print ggpredict ordinal outcome ──────────── out4$response.level (`actual`) not identical to out1$response.level (`expected`). `actual` is an S3 object of class <factor>, an integer vector `expected` is a character vector ('definitely', 'probably', 'probably not', 'definitely not', 'definitely', ...) [ FAIL 1 | WARN 0 | SKIP 67 | PASS 607 ] Error: Test failures Execution halted Flavor: r-release-windows-x86_64

Version: 1.5.2
Check: tests
Result: ERROR Running 'testthat.R' [185s] 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 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. 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 Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. Data points may overlap. Use the `jitter` argument to add some amount of random variation to the location of data points and avoid overplotting. 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'. 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 67 | PASS 607 ] ══ Skipped tests (67) ══════════════════════════════════════════════════════════ • On CRAN (64): 'test-MCMCglmm.R:1:1', 'test-MixMod.R:1:1', 'test-avg_predictions.R:24:3', 'test-avg_predictions.R:79:5', 'test-brms-categ-cum.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-correct_se_sorting.R:1:1', 'test-decimals.R:1:1', 'test-fixest.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_numcat.R:1:1', 'test-list_terms.R:36:3', 'test-lmer.R:1:1', 'test-mgcv.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:6:3', 'test-print_subsets.R:11:3', 'test-print_test_predictions-ordinal.R:14:3', 'test-print_test_predictions.R:20:3', 'test-print_test_predictions.R:24:3', 'test-print_test_predictions.R:28:3', 'test-print_test_predictions.R:32:3', 'test-print_test_predictions.R:36:3', 'test-print_test_predictions.R:40:3', 'test-print_test_predictions.R:44:3', 'test-print_test_predictions.R:49:3', 'test-print_test_predictions.R:53:3', 'test-print_test_predictions.R:57:3', 'test-print_test_predictions.R:61:3', 'test-print_test_predictions.R:65:3', 'test-print_test_predictions.R:172:3', 'test-print_test_predictions.R:231:3', 'test-print_test_predictions.R:240:3', 'test-print_test_predictions.R:249:3', 'test-print_test_predictions.R:266:3', '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:126:3', 'test-test_predictions_emmeans.R:161:3', 'test-vcov.R:1:1', 'test-vglm.R:1:1', 'test-zeroinfl.R:27:3', 'test-zi_prob.R:1:1' • empty test (3): 'test-plot.R:11:1', 'test-polr.R:136:5', 'test-polr.R:142:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-ordinal.R:39:3'): print ggpredict ordinal outcome ──────────── out4$response.level (`actual`) not identical to out1$response.level (`expected`). `actual` is an S3 object of class <factor>, an integer vector `expected` is a character vector ('definitely', 'probably', 'probably not', 'definitely not', 'definitely', ...) [ FAIL 1 | WARN 0 | SKIP 67 | PASS 607 ] Error: Test failures Execution halted Flavor: r-oldrel-windows-x86_64