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

Usage

# S4 method for class '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.