Performs general MetropolisHastings Markov Chain Monte Carlo sampling of a user defined function which returns the unnormalized value (likelihood times prior) of a Bayesian model. The proposal variancecovariance 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.
Package details 


Author  Corey Chivers 
Date of publication  20120324 17:49:17 
Maintainer  Corey Chivers <corey.chivers@mail.mcgill.ca> 
License  GPL (>= 3) 
Version  1.18 
Package repository  View on CRAN 
Installation 
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