performance 0.10.3

New functions

• item_discrimination(), to calculate the discrimination of a scale's items.

Support for new models

• model_performance(), check_overdispersion(), check_outliers() and r2()
  now work with objects of class fixest_multi (@etiennebacher, #554).

• model_performance() can now return the "Weak instruments" statistic and
  p-value for models of class ivreg with metrics = "weak_instruments"
  (@etiennebacher, #560).

• Support for mclogit models.

Changes to functions

• test_*() functions now automatically fit a null-model when only one model
  objects was provided for testing multiple models.

• Warnings in model_performance() for unsupported objects of class
  BFBayesFactor can now be suppressed with verbose = FALSE.

• check_predictions() no longer fails with issues when re_formula = NULL
  for mixed models, but instead gives a warning and tries to compute posterior
  predictive checks with re_formuka = NA.

• check_outliers() now also works for meta-analysis models from packages
  metafor and meta.

• plot() for performance::check_model() no longer produces a normal QQ plot
  for GLMs. Instead, it now shows a half-normal QQ plot of the absolute value
  of the standardized deviance residuals.

Bug fixes

• Fixed issue in print() method for check_collinearity(), which could mix
  up the correct order of parameters.