performance 0.10.9

Changes

• r2() for models of class glmmTMB without random effects now returns the
  correct r-squared value for non-mixed models.

• check_itemscale() now also accepts data frames as input. In this case,
  factor_index must be specified, which must be a numeric vector of same
  length as number of columns in x, where each element is the index of the
  factor to which the respective column in x.

• check_itemscale() gets a print_html() method.

• Clarification in the documentation of the estimator argument for
  performance_aic().

• Improved plots for overdispersion-checks for negative-binomial models from
  package glmmTMB (affects check_overdispersion() and check_mnodel()).

• Improved detection rates for singularity in check_singularity() for models
  from package glmmTMB.

• For model of class glmmTMB, deviance residuals are now used in the
  check_model() plot.

• Improved (better to understand) error messages for check_model(),
  check_collinearity() and check_outliers() for models with non-numeric
  response variables.

• r2_kullback() now gives an informative error for non-supported models.

Bug fixes

• Fixed issue in binned_residuals() for models with binary outcome, where
  in rare occasions empty bins could occur.

• performance_score() should no longer fail for models where scoring rules
  can't be calculated. Instead, an informative message is returned.

• check_outliers() now properly accept the percentage_central argument when
  using the "mcd" method.

• Fixed edge cases in check_collinearity() and check_outliers() for models
  with response variables of classes Date, POSIXct, POSIXlt or difftime.

• Fixed issue with check_model() for models of package quantreg.