tsbridge: Calculate normalising constants for Bayesian time series models

The tsbridge package contains a collection of R functions that can be used to estimate the normalising constant using the bridge sampler of Meng and Wong (1996). The functions can be applied to calculate posterior model probabilities for a variety of time series Bayesian models, where parameters are estimated using BUGS, and models themselves are created using the tsbugs package.

Version: 1.0
Depends: R (≥ 2.15.0), mvtnorm, tsbugs
Suggests: R2OpenBUGS
Published: 2013-10-15
Author: Guy J. Abel and Jackie S. T. Wong
Maintainer: Guy J. Abel <g.j.abel at gmail.com>
License: GPL-2
URL: http://gjabel.wordpress.com/category/r/tsbridge/
NeedsCompilation: no
CRAN checks: tsbridge results

Downloads:

Reference manual: tsbridge.pdf
Package source: tsbridge_1.0.tar.gz
OS X binary: tsbridge_1.0.tgz
Windows binary: tsbridge_1.0.zip