ggeffects: Tidy Data Frames of Marginal Effects for ggplot.

General Prediction for glmmTMB-objects now compute proper confidence intervals, due to fix in package glmmTMB 0.2.1 If terms in ggpredict() is missing or NULL, marginal effects for each model term are calculated. ggpredict() then returns a list of data frames, which can also be plotted with plot(). Changes to functions The jitter-argument from plot() now accepts a numeric value between 0 and 1, to control the width of the random variation in data points. ggpredict() and ggeffect() can now predict transformed values, which is useful, for instance, to exponentiate predictions for log(term) on the original scale of the variable. See package vignette, section Marginal effects at specific values or levels for examples. Bug fixes Multivariate response models in brms with variable names with underscores and dots were not correctly plotted