MCMCranef: Visualise the random effect posterior distributions

In Euphrasiologist/VCVglmm: Manipulating model outputs from MCMCglmm and lme4 objects, usually involving variance-covariance matrices

Description

Visualise the random effect posterior distributions

Usage

MCMCranef(mod, group = FALSE, data = FALSE)

Arguments

mod	model of class MCMCglmm
group	logical, should the random effects be grouped?

Examples

# requires data.table, ggplot2
library(data.table); library(ggplot2)
model <- MCMCglmm(y ~ x, random = ~ z)
MCMCranef(model)

Euphrasiologist/VCVglmm documentation built on June 4, 2020, 7:08 p.m.