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Display a detailed summary of a particle Markov chain Monte Carlo (PMCMC) analysis, including the number of iterations, number of particles, acceptance ratio, model characteristics (name, number of nodes, transitions), and posterior quantiles (2.5 75 parameter.

Usage

# S4 method for class 'SimInf_pmcmc'
summary(object, ...)

Arguments

object

The SimInf_pmcmc object to summarize.

...

Additional arguments affecting the summary produced. Currently ignored.

Value

NULL, returned invisibly.

Details

Compared to show, the summary additionally displays model characteristics such as the model name, number of nodes, and transition details.

See also

pmcmc for running a PMCMC analysis, continue_pmcmc for continuing an existing PMCMC chain, SimInf_pmcmc for the class definition, show for a brief summary.