bayespack: Numerical Integration for Bayesian Inference

The bayespack package provides an R interface to the Fortran BAYESPACK integration routines written by Alan Genz. Given an unnormalized posterior distribution, the BAYESPACK routines approximate the normalization constant and the mean and covariance of the posterior. Posterior means of additional functions of the parameters can be calculated as well.

Version: 1.0-2
Suggests: sn
Published: 2011-02-19
Author: Alan Genz (BAYESPACK Fortran source code) and Bjoern Bornkamp (R interface and minor adaptions in Fortran source code)
Maintainer: Bjoern Bornkamp <bbnkmp at gmail.com>
License: GPL
In views: Bayesian
CRAN checks: bayespack results

Downloads:

Package source: bayespack_1.0-2.tar.gz
MacOS X binary: bayespack_1.0-2.tgz
Windows binary: bayespack_1.0-2.zip
Reference manual: bayespack.pdf
News/ChangeLog:ChangeLog
Old sources: bayespack archive