Running 'testthat.R' [190s]
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