plotMH


an object returned by a call to <code>Metro_Hastings()</code>


mcmc_object


logical: if TRUE, plots a pairwise correlogram of each parameter in the model.


correlogram


This function plots histograms and traces of each parameter of the Bayesian model.


Performs general Metropolis-Hastings Markov Chain Monte
Carlo sampling of a user defined function which returns the
un-normalized value (likelihood times prior) of a Bayesian
model.  The proposal variance-covariance structure is updated
adaptively for efficient mixing when the structure of the
target distribution is unknown.  The package also provides some
functions for Bayesian inference including Bayesian Credible
Intervals (BCI) and Deviance Information Criterion (DIC)
calculation.

plotMH: Plot MCMC results of a call to Metro_Hastings().

Description

Usage

Arguments

Value

See Also

Examples