bridgesampling: Bridge Sampling for Marginal Likelihoods and Bayes Factors

Provides functions for estimating marginal likelihoods, Bayes factors, posterior model probabilities, and normalizing constants in general, via different versions of bridge sampling (Meng & Wong, 1996, <http://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm>).

Version: 0.1-1
Depends: R (≥ 3.0.0)
Imports: mvtnorm, Matrix, Brobdingnag, stringr, coda, parallel, scales
Suggests: testthat, Rcpp, RcppEigen, R2jags, knitr, rmarkdown, R.rsp
Published: 2017-03-24
Author: Quentin F. Gronau [aut, cre], Henrik Singmann [aut], Jonathan J. Forster [ctb]
Maintainer: Quentin F. Gronau <Quentin.F.Gronau at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/quentingronau/bridgesampling
NeedsCompilation: no
In views: Bayesian
CRAN checks: bridgesampling results

Downloads:

Reference manual: bridgesampling.pdf
Vignettes: Hierarchical Normal Example
A Tutorial on Bridge Sampling
Package source: bridgesampling_0.1-1.tar.gz
Windows binaries: r-devel: bridgesampling_0.1-1.zip, r-release: bridgesampling_0.1-1.zip, r-oldrel: bridgesampling_0.1-1.zip
OS X El Capitan binaries: r-release: bridgesampling_0.1-1.tgz
OS X Mavericks binaries: r-oldrel: bridgesampling_0.1-1.tgz

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