easystats/effectsize: CRAN release 0.5.0

effectsize 0.5 Breaking Changes cramers_v() correctly does not work with 1-dimentional tables (for goodness-of-fit tests). interpret_d(), interpret_g(), and interpret_delta() are now interpret_cohens_d(), interpret_hedges_g(), and interpret_glass_delta(). interpret_parameters() was removed. Use interpret_r() instead (with caution!). Phi, Cohen's w, Cramer's V, ANOVA effect sizes, rank Epsilon squared, Kendall's W - CIs default to 95% one-sided CIs (alternative = "greater"). (To restore previous behavior, set ci = .9, alternative = "two.sided".) adjust(), change_scale(), normalize(), ranktransform(), standardize() (data), and unstandardize() have moved to the new {datawizard} package! New features pearsons_c() (and chisq_to_pearsons_c()) for estimating Pearson's contingency coefficient. interpret_vif() for interpretation of variance inflation factors. oddsratio_to_riskratio() can now convert OR coefficients to RR coefficients from a logistic GLM(M). All effect-size functions gain an alternative argument which can be used to make one- or two-sided CIs. interpret() now accepts as input the results from cohens_d(), eta_squared(), rank_biserial(), etc. interpret_pd() for the interpretation of the Probability of Direction. Bug fixes kendalls_w() CIs now correctly bootstrap samples from the raw data (previously the rank-transformed data was sampled from). cohens_d(), sd_pooled() and rank_biserial() now properly respect when y is a grouping character vector. effectsize() for Chi-squared test of goodness-of-fit now correctly respects non-uniform expected probabilities ( #352 ). Changes interpret_bf() now accepts log(BF) as input