performance 0.16.0

Breaking Changes

• model_performance() for psych FA objects now correctly names the metric as
  RMSR (Root Mean Square Residual) instead of RMSA. The RMSR_corrected
  column (previously RMSA_corrected) is also renamed accordingly.

• The first argument in check_model(), check_predictions() and
  check_convergence() was renamed to model.

Changes

• check_model() now limits the number of data points for models with many
  observations, to reduce the time for rendering the plot via the maximum_dots
  argument.

• check_model() can now show or hide confidence intervals using the show_ci
  argument. For models with only categorical predictors, confidence intervals
  are not shown by default.

Bug fixes

• Fixed issue in check_dag() with multiple colliders.

• Fixed CRAN check issues.

performance 0.15.3

• check_autocorrelation() gets methods for DHARMa objects and objects from
  simulate_residuals().

• Improved documentation for printing-methods.

performance 0.15.2

Bug fixes

• Fixed failing CRAN checks, related to the latest rstanarm update.

performance 0.15.1

Changes

• display() now supports the tinytable format, when format = "tt".

• Better handling of non-converged lavaan-models in model_performance().

performance 0.15.0

New functions

• item_omega(), to calculate the McDonald's Omega reliability coefficient.

• item_totalcor() calculates the total correlation of an item with the
  sum of all other items in a scale. If corrected = TRUE, the total
  correlation is corrected for the number of items in the scale (which is
  equivalent to item_discrimination()).

• Column names of item_reliability() were changed to be in line with the
  easystats naming convention and to be consistent with the output of other
  related functions.

Changes

• check_itemscale() now work with factor analysis results, from
  parameters::factor_analysis().

• item_reliability() now includes the item-total correlation, and information
  about Cronbach's alpha and mean inter-item correlation in the printed output.

• cronbachs_alpha() now work with factor analysis results, from
  parameters::factor_analysis().

• Formatting of p-values in test_likelihoodratio() is now consistent with
  formatted p-values from other functions.

• Added following methods for psych::fa(), psych::principal(), item_omega(),
  psych::omega(), and parameters::factor_analysis(): check_normality(), check_residuals(), check_outliers(), and model_performance().

• item_alpha() was added as an alias for cronbachs_alpha().

• Further functions get a display(), print_md() and print_html() method.

Bug fixes

• Fixed issue in check_predictions() for binomial models with a response
  defined as proportion or matrix of successes and trials.

• print_md() for objects returned by check_itemscale() now include the footer
  with information about Cronbach's alpha and mean inter-item correlation.

performance 0.14.0

Breaking Changes

• The "Increased SE" column in the output of check_collinearity() was renamed
  into "adj. VIF" (=adjusted VIF). Furthermore, the computation of the adjusted
  VIF now correctly accounts for the numbers of levels (i.e. degrees of freedom)
  for factors.

New functions

• New function check_group_variation() to check within-/between-group
  variability (this function will replace check_heterogeneity_bias() in
  future releases.)

• New functions performance_reliability() and performance_dvour(). These
  functions provide information about the reliability of group-level estimates
  (i.e., random effects) in mixed models.

Changes

• Singularity checks with check_singularity() are now more efficient and also
  include the random effects for the dispersion component (from package
  glmmTMB). Furthermore, a check argument allows to check for general
  singularity (for the full model), or can return singularity checks for each
  random effects term separately.

Bug fixes

• Fixed issue with wrong computation of pseudo-R2 for some models where the
  base-model (null model) was updated using the original data, which could
  include missing values. Now the model frame is used, ensuring the correct
  number of observations in the returned base-model, thus calculating the
  correct log-likelihood and returning the correct pseudo-R2.

• Fixed examples in check_outliers().

performance 0.13.0

Breaking changes

• check_outliers() with method = "optics" now returns a further refined
  cluster selection, by passing the optics_xi argument to dbscan::extractXi().

• Deprecated arguments and alias-function-names have been removed.

• Argument names in check_model() that refer to plot-aesthetics (like
  dot_size) are now harmonized across easystats packages, meaning that
  these have been renamed. They now follow the pattern aesthetic_type, e.g.
  size_dot (instead of dot_size).

Changes

• Increased accuracy for check_convergence() for glmmTMB models.

• r2() and r2_mcfadden() now support beta-binomial (non-mixed) models from
  package glmmTMB.

• An as.numeric() resp. as.double() method for objects of class
  performance_roc was added.

• Improved documentation for performance_roc().

Bug fixes

• check_outliers() did not warn that no numeric variables were found when only
  the response variable was numeric, but all relevant predictors were not.

• check_collinearity() did not work for glmmTMB models when zero-inflation
  component was set to ~0.

performance 0.12.4

Changes

• check_dag() now also checks for colliders, and suggests removing it in the
  printed output.

• Minor revisions to the printed output of check_dag().

Bug fixes

• Fixed failing tests that broke due to changes in latest glmmTMB update.

performance 0.12.3

New functions

• check_dag(), to check DAGs for correct adjustment sets.

Changes

• check_heterogeneity_bias() gets a nested argument. Furthermore, by can
  specify more than one variable, meaning that nested or cross-classified
  model designs can also be tested for heterogeneity bias.

performance 0.12.2

Patch release, to ensure that performance runs with older version of
datawizard on Mac OSX with R (old-release).