parameters 0.27.0

Breaking Changes

• The standardize argument in factor_analysis() now defaults to FALSE.

• The rotation argument in factor_analysis() now defaults to "oblimin",
  because the former default of "none" rarely makes sense in the context of
  factor analysis. If you want to use no rotation, please set rotation = "none".

• The cor argument in n_factors() was renamed into correlation_matrix. In
  factor_analysis(), the cor argument was completely removed to avoid naming
  collision with the cor argument of psych::fa(), which now users can pass
  the cor argument to psych::fa() when using factor_analysis().

Changes

• factor_analysis() gets a .matrix method, including arguments n_obs and
  n_matrix, to compute factor analysis for a correlation matrix or covariance
  matrix.

• New function factor_scores() to extract factor scores from EFA (psych::fa()
  or factor_analysis()).

• Added and/or improved print-methods for all functions around PCA, FA and Omega.

• Improved efficiency in model_parameters() for models from packages brms
  and rstanarm.

• p_adjust for model_parameters() gets a new options, "sup-t", to calculate
  simultaneous confidence intervals.

Bug fixes

• bootstrap_model() did not work for intercept-only models. This has been fixed.

• Fixed issue with printing labels as pretty names for models from package
  pscl, i.e. print(model_parameters(model), pretty_names = "labels") now
  works as expected.