performance 0.10.5

Changes to functions

• More informative message for test_*() functions that "nesting" only refers
  to fixed effects parameters and currently ignores random effects when detecting
  nested models.

• check_outliers() for "ICS" method is now more stable and less likely to
  fail.

• check_convergence() now works for parsnip _glm models.

Bug fixes

• check_collinearity() did not work for hurdle- or zero-inflated models of
  package pscl when model had no explicitly defined formula for the
  zero-inflation model.

performance 0.10.4

• icc() and r2_nakagawa() gain a ci_method argument, to either calculate
  confidence intervals using boot::boot() (instead of lmer::bootMer()) when
  ci_method = "boot" or analytical confidence intervals
  (ci_method = "analytical"). Use ci_method = "boot" when the default method
  fails to compute confidence intervals and use ci_method = "analytical" if
  bootstrapped intervals cannot be calculated at all. Note that the default
  computation method is preferred.

• check_predictions() accepts a bandwidth argument (smoothing bandwidth),
  which is passed down to the plot() methods density-estimation.

• check_predictions() gains a type argument, which is passed down to the
  plot() method to change plot-type (density or discrete dots/intervals).
  By default, type is set to "default" for models without discrete outcomes,
  and else type = "discrete_interval".

• performance_accuracy() now includes confidence intervals, and reports those
  by default (the standard error is no longer reported, but still included).

Bug fixes

• Fixed issue in check_collinearity() for fixest models that used i()
  to create interactions in formulas.

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.

performance 0.10.2

General

• Revised usage of insight::get_data() to meet forthcoming changes in the
  insight package.

Changes to functions

• check_collinearity() now accepts NULL for the ci argument.

Bug fixes

• Fixed issue in item_difficulty() with detecting the maximum values of an
  item set. Furthermore, item_difficulty() gets a maximum_value argument
  in case no item contains the maximum value due to missings.

performance 0.10.1

General

• Minor improvements to the documentation.

Changes to functions

• icc() and r2_nakagawa() get ci and iterations arguments, to compute
  confidence intervals for the ICC resp. R2, based on bootstrapped sampling.

• r2() gets ci, to compute (analytical) confidence intervals for the R2.

• check_predictions() accepts a bw argument (smoothing bandwidth), which is
  passed down to the plot() methods density-estimation. The default for the
  smoothing bandwidth bw has changed from "nrd0" to "nrd", which seems
  to produce better fitting plots for non-gaussian models.

• The model underlying check_distribution() was now also trained to detect
  cauchy, half-cauchy and inverse-gamma distributions.

• model_performance() now allows to include the ICC for Bayesian models.

Bug fixes

• verbose didn't work for r2_bayes() with BFBayesFactor objects.

• Fixed issues in check_model() for models with convergence issues that lead
  to NA values in residuals.

• Fixed bug in check_outliers whereby passing multiple elements to the
  threshold list generated an error (#496).

• test_wald() now warns the user about inappropriate F test and calls
  test_likelihoodratio() for binomial models.

performance 0.10.0

Breaking Change

• The minimum needed R version has been bumped to 3.6.

• The alias performance_lrt() was removed. Use test_lrt() resp.
  test_likelihoodratio().

New functions

• Following functions were moved from package parameters to performance:
  check_sphericity_bartlett(), check_kmo(), check_factorstructure() and
  check_clusterstructure().

Changes to functions

• check_normality(), check_homogeneity() and check_symmetry() now works
  for htest objects.

• Print method for check_outliers() changed significantly: now states the
  methods, thresholds, and variables used, reports outliers per variable (for
  univariate methods) as well as any observation flagged for several
  variables/methods. Includes a new optional ID argument to add along the
  row number in the output (@rempsyc #443).

• check_outliers() now uses more conventional outlier thresholds. The IQR
  and confidence interval methods now gain improved distance scores that
  are continuous instead of discrete.

Bug Fixes

• Fixed wrong z-score values when using a vector instead of a data frame in
  check_outliers() (#476).

• Fixed cronbachs_alpha() for objects from parameters::principal_component().

performance 0.9.2

Merge pull request #465 from easystats/cran_release_0_9_2

on CRAN

performance 0.7.1

Release for JOSS paper.

performance 0.4.8

on CRAN

performance 0.4.7

DOI