plot.Rcpp_MCMCAlgorithm: Plot MCMC algorithm

In AnaCoDa: Analysis of Codon Data under Stationarity using a Bayesian Framework

Description

This function will plot the logLikelihood trace, and if the Hmisc package is installed, it will plot a subplot of the logLikelihood trace with the first few samples removed.

Usage

## S3 method for class 'Rcpp_MCMCAlgorithm'
plot(x, what = "LogPosterior", zoom.window = NULL, ...)

Arguments

x	An Rcpp_MCMC object initialized with initializeMCMCObject.
what	character defining if log(Posterior) (Default) or log(Likelihood) options are: LogPosterior or logLikelihood
zoom.window	A vector describing the start and end of the zoom window.
...	Arguments to be passed to methods, such as graphical parameters.

Value

This function has no return value.

AnaCoDa documentation built on Jan. 8, 2021, 2:37 a.m.