ggeffects: Tidy Data Frames of Marginal Effects for ggplot.

General

• New vignette Different Output between Stata and ggeffects.

Changes to functions

• ggpredict() now automatically back-transforms predictions to the response scale for model with log-transformed response.
• ggeffect() and ggpredict() now automatically set numeric vectors with 10 or more unique values to representative values (see rprs_values()), if these are used as second or third value in the terms-argument (to represent a grouping structure).
• Fix memory allocation issue in ggeffect().
• rprs_values() is now exported.
• The pretty-argument is deprecated, because prettifying values almost always makes sense - so this is done automatically.
• ggpredict() now supports brmsfit-objects with categorical-family.
• ggalleffect() has been removed. ggeffect() now plots effects for all model terms if terms = NULL.
• gginteraction() and ggpoly() have been removed, as ggpredict() and ggeffect() are more efficient and generic for plotting interaction or polynomial terms.

Bug fixes

• Fix issues with categorical or ordinal outcome models (polr, clm, multinom) for ggeffect().
• Fix issues with confidence intervals for mixed models with log-transformed response value.
• Fix issues with confidence intervals for generalized mixed models when response value was a rate or proportion created with cbind() in model formula.