convertCoda {BayesianTools}R Documentation

Convert coda::mcmc objects to BayesianTools::mcmcSampler

Description

Function is used to make the plot and diagnostic functions available for coda::mcmc objects

Usage

convertCoda(sampler, names = NULL, info = NULL, likelihood = NULL)

Arguments

sampler

An object of class mcmc or mcmc.list

names

vector giving the parameter names (optional)

info

matrix (or list with matrices for mcmc.list objects) with three coloumns containing log posterior, log likelihood and log prior of the sampler for each time step (optional; but see Details)

likelihood

likelihood function used in the sampling (see Details)

Details

The parameter 'likelihood' is optional for most functions but can be needed e.g for using the DIC function.

Also the parameter info is optional for most uses. However for some functions (e.g. MAP) the matrix or single coloumns (e.g. log posterior) are necessary for the diagnostics.


[Package BayesianTools version 0.1.7 Index]