performance 0.11.0

New supported models

• Rudimentary support for models of class serp from package serp.

New functions

• simulate_residuals() and check_residuals(), to simulate and check residuals
  from generalized linear (mixed) models. Simulating residuals is based on the
  DHARMa package, and objects returned by simulate_residuals() inherit from
  the DHARMa class, and thus can be used with any functions from the DHARMa
  package. However, there are also implementations in the performance package,
  such as check_overdispersion(), check_zeroinflation(), check_outliers()
  or check_model().

• Plots for check_model() have been improved. The Q-Q plots are now based
  on simulated residuals from the DHARMa package for non-Gaussian models, thus
  providing more accurate and informative plots. The half-normal QQ plot for
  generalized linear models can still be obtained by setting the new argument
  residual_type = "normal".

• Following functions now support simulated residuals (from simulate_residuals())
  resp. objects returned from DHARMa::simulateResiduals():

  • check_overdispersion()
  • check_zeroinflation()
  • check_outliers()
  • check_model()

General

• Improved error messages for check_model() when QQ-plots cannot be created.

• check_distribution() is more stable for possibly sparse data.

Bug fixes

• Fixed issue in check_normality() for t-tests.

• Fixed issue in check_itemscale() for data frame inputs, when factor_index
  was not a named vector.