CRAN release 0.6.0

effectsize 0.6.0

Breaking Changes

• pearsons_c() effect size column name changed to Pearsons_c for consistency.

New features

New API

See Support functions for model extensions vignette.

Other features

• eta_squared() family now supports afex::mixed() models.
• cles() for estimating common language effect sizes.
• rb_to_cles() for converting rank-biserial correlation to Probability of superiority.

Changes

• effectsize() for BayesFactor objects returns the same standardized output as for htest.

Bug fixes

• eta_squared() for MLM return effect sizes in the correct order of the responses.
• eta_squared() family no longer fails when CIs fail due to non-finite Fs / degrees of freedom.
• standardize() for multivariate models standardizes the (multivariate) response.
• standardize() for models with offsets standardizes offset variables according to include_response and two_sd ( #396 ).
• eta_squared(): fixed a bug that caused afex_aov models with more than 2 within-subject factors to return incorrect effect sizes for the lower level factors ( #389 ).