Release sjstats 0.15.0 · strengejacke/sjstats

General

equi_test() to test if parameter values in Bayesian estimation should be accepted or rejected.
mediation() to print a summary of a mediation analysis from multivariate response models fitted with brms.

link_inverse() now also returns the link-inverse function for cumulative-family brms-models.
model_family() now also returns an is_ordinal-element with information if the model is ordinal resp. a cumulative link model.
Functions that access model information (like model_family()) now better support vglm-models (package VGAM).
r2() now also calculates the standard error for brms or stanreg models.
r2() gets a loo-argument to calculate LOO-adjusted rsquared values for brms or stanreg models. This measure comes conceptionally closer to an adjusted r-squared measure.
Effect sizes (anova_stats(), eta_sq() etc.) are now also computed for mixed models.
To avoid confusion, n_eff() now computes the number of effective samples, and no longer its ratio in relation to the total number of samples.
The column name for the ratio of the number of effective samples in tidy_stan() is now named neff_ratio, to avoid confusion.

Fixed issue in se() for icc()-objects, where random effect term could not be found.
Fixed issue in se() for merMod-objects.
Fixed issue in p_value() for mixed models with KR-approximation, which is now more accurate.