R Under development (unstable) (2025-11-30 r89082 ucrt) -- "Unsuffered Consequences"
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> library(testthat)
> library(performance)
> 
> test_check("performance")
Starting 2 test processes.
> test-check_convergence.R: boundary (singular) fit: see help('isSingular')
Saving _problems/test-check_convergence-14.R
> test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be
> test-check_itemscale.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be
> test-check_itemscale.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be
> test-check_itemscale.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be
> test-check_itemscale.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be
> test-check_itemscale.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be
> test-check_itemscale.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-check_collinearity.R: NOTE: 2 fixed-effect singletons were removed (2 observations).
> test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be
> test-check_itemscale.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be
> test-check_itemscale.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be
> test-check_itemscale.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-check_itemscale.R: Some of the values are negative. Maybe affected items need to be
> test-check_itemscale.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-check_overdispersion.R: Overdispersion detected.
> test-check_overdispersion.R: Underdispersion detected.
> test-check_outliers.R: No outliers were detected (p = 0.238).
> test-glmmPQL.R: iteration 1
> test-item_discrimination.R: Some of the values are negative. Maybe affected items need to be
> test-item_discrimination.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-item_discrimination.R: Some of the values are negative. Maybe affected items need to be
> test-item_discrimination.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-item_discrimination.R: Some of the values are negative. Maybe affected items need to be
> test-item_discrimination.R:   reverse-coded, e.g. using `datawizard::reverse()`.
> test-performance_aic.R: Model was not fitted with REML, however, `estimator = "REML"`. Set
> test-performance_aic.R:   `estimator = "ML"` to obtain identical results as from `AIC()`.
[ FAIL 1 | WARN 0 | SKIP 40 | PASS 453 ]

══ Skipped tests (40) ══════════════════════════════════════════════════════════
• On CRAN (39): 'test-bootstrapped_icc_ci.R:2:3',
  'test-bootstrapped_icc_ci.R:44:3', 'test-binned_residuals.R:163:3',
  'test-binned_residuals.R:190:3', 'test-check_dag.R:1:1',
  'test-check_distribution.R:1:1', 'test-check_itemscale.R:1:1',
  'test-check_itemscale.R:100:1', 'test-check_model.R:1:1',
  'test-check_collinearity.R:193:1', 'test-check_collinearity.R:226:1',
  'test-check_predictions.R:2:1', 'test-check_residuals.R:2:3',
  'test-check_singularity.R:2:3', 'test-check_singularity.R:30:3',
  'test-check_zeroinflation.R:73:3', 'test-check_zeroinflation.R:112:3',
  'test-check_outliers.R:115:3', 'test-check_outliers.R:339:3',
  'test-helpers.R:1:1', 'test-icc.R:2:1', 'test-item_omega.R:1:1',
  'test-item_omega.R:31:3', 'test-mclogit.R:56:1',
  'test-compare_performance.R:1:1', 'test-model_performance.bayesian.R:1:1',
  'test-model_performance.lavaan.R:1:1', 'test-model_performance.merMod.R:2:3',
  'test-model_performance.merMod.R:37:3', 'test-model_performance.psych.R:1:1',
  'test-model_performance.rma.R:36:1', 'test-nestedLogit.R:65:1',
  'test-performance_reliability.R:23:3', 'test-pkg-ivreg.R:1:1',
  'test-r2_nagelkerke.R:35:3', 'test-r2_nakagawa.R:20:1',
  'test-r2_bayes.R:39:3', 'test-test_likelihoodratio.R:55:1',
  'test-rmse.R:39:3'
• getRversion() > "4.4.0" is TRUE (1): 'test-check_outliers.R:300:3'

══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-check_convergence.R:14:3'): check_convergence ──────────────────
Error in `h(simpleError(msg, call))`: error in evaluating the argument 'a' in selecting a method for function 'solve': object 'Hessian' not found
Backtrace:
     ▆
  1. ├─testthat::expect_true(check_convergence(model)) at test-check_convergence.R:14:3
  2. │ └─testthat::quasi_label(enquo(object), label)
  3. │   └─rlang::eval_bare(expr, quo_get_env(quo))
  4. ├─performance::check_convergence(model)
  5. │ ├─insight::is_converged(x, tolerance = tolerance, ...)
  6. │ └─insight:::is_converged.merMod(x, tolerance = tolerance, ...)
  7. │   ├─base::with(x@optinfo$derivs, Matrix::solve(Hessian, gradient))
  8. │   ├─base::with.default(x@optinfo$derivs, Matrix::solve(Hessian, gradient))
  9. │   │ └─base::eval(substitute(expr), data, enclos = parent.frame())
 10. │   │   └─base::eval(substitute(expr), data, enclos = parent.frame())
 11. │   └─Matrix::solve(Hessian, gradient)
 12. └─base::.handleSimpleError(...)
 13.   └─base (local) h(simpleError(msg, call))

[ FAIL 1 | WARN 0 | SKIP 40 | PASS 453 ]
Error:
! Test failures.
Execution halted