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This function plots posterior empirical quantiles for partial effects of parametric terms

Usage

plot_mvgam_pterms(object, trend_effects = FALSE)

Arguments

object

list object returned from 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 each parametric term's partial effect estimates (on the link scale) are calculated and visualised as ribbon plots. These effects can be interpreted as the partial effect that a parametric term contributes when all other terms in the model have been set to 0