Plot random effect terms from mvgam models — plot_mvgam

This function plots posterior empirical quantiles for random effect smooths (bs = re)

Usage

plot_mvgam_randomeffects(object, trend_effects = FALSE)

Arguments

object: list object of class mvgam. See mvgam()
trend_effects: logical. If TRUE and a trend_formula was used in model fitting, terms from the trend (i.e. process) model will be plotted

Value

A base R graphics plot

Details

Posterior empirical quantiles of random effect coefficient estimates (on the link scale) are calculated and visualised as ribbon plots. Labels for coefficients are taken from the levels of the original factor variable that was used to specify the smooth in the model's formula

Author

Nicholas J Clark