plot.multibergm: Plot BERGM posterior output

In brieuclehmann/multibergm: Bayesian Exponential Random Graph Models for Multiple Networks

Plot BERGM posterior output

Description

This function creates MCMC diagnostic plots for multibergm objects.

Usage

## S3 method for class 'multibergm'
plot(object, param = "mu", burn_in = 0L, thin = 1L, ind = 1L, ...)

Arguments

object	A multibergm object
param	Multibergm parameter to be summarised
burn_in	Amount of burn-in to remove from the start of posterior samples (pre-thinning)
thin	Amount of thinning to apply to the posterior samples
ind	Indices to subset when param is theta or mu_pop
...	Additional parameters to be passed on to lower-level functions.
x	A multibergm object

Value

Outputs a density plot, trace plot, and autocorrelation plot for each of the model parameters.

brieuclehmann/multibergm documentation built on June 19, 2024, 6:36 p.m.