plot-SimInf_pmcmc-method: Display the PMCMC posterior distribution

In stewid/SimInf: A Framework for Data-Driven Stochastic Disease Spread Simulations

Display the PMCMC posterior distribution

Description

Display the (approximate) posterior distributions obtained from fitting a particle Markov chain Monte Carlo algorithm, or the corresponding trace plots.

Usage

## S4 method for signature 'SimInf_pmcmc'
plot(x, y, start = 1, end = NULL, thin = 1, ...)

Arguments

x	The SimInf_pmcmc object to plot.
y	The trace of all variables and logPost are plotted when y = "trace" or y = ~trace, else the posterior distributions are plotted. Default is to plot the posterier distributions.
start	The start iteration to remove some burn-in iterations. Default is start = 1.
end	the last iteration to include. Default is NULL which set end to the last iteration in the chain.
thin	keep every thin iteration after the start iteration. Default is thin = 1, i.e., keep every iteration.
...	Additional arguments affecting the plot.

stewid/SimInf documentation built on April 13, 2025, 4:05 a.m.