plotRE: Visualizing the random effect estimates using ggplot2

In actuaRE: Handling Single-Level and Hierarchically Structured Risk Factors using Credibility and Random Effects Models

Visualizing the random effect estimates using ggplot2

Description

Using this function, you can create plots of the random effect estimates from fitted random effects models. To make the plots, we rely on the ggplot2 package.

Usage

plotRE(
  obj,
  levelRE = c("all", "first", "second"),
  colour = "black",
  plot = TRUE
)

Arguments

obj	an object of type hierCredibility, hierCredGLM, hierCredTweedie, buhlmannStraub, buhlmannStraubGLM or buhlmannStraubTweedie
levelRE	indicates which hierarchical level has to be used. "all" plots both levels in the hierarchy, "first" the first level in the hierarchy and "second" the second level. For buhlmannStraub objects, this parameter is ignored.
colour	colour for geom_point
plot	logical indicating if the ggplot objects have to be plotted.

Value

a list with ggplot objects.

Examples

data("tweedietraindata")
fitHGLM <- hierCredGLM(y ~ x1 + (1 | cluster / subcluster), tweedietraindata, weights = wt)
plotRE(fitHGLM)

actuaRE documentation built on July 3, 2026, 5:07 p.m.