Package: bayesloglin
Title: Bayesian Analysis of Contingency Table Data
Version: 1.0.1
Date: 2016-12-18
Author: Matthew Friedlander
Maintainer: Matthew Friedlander <friedla@yorku.ca>
Depends: igraph
Description: The function MC3() searches for log-linear models with the highest posterior probability. The function gibbsSampler() is a blocked Gibbs sampler for sampling from the posterior distribution of the log-linear parameters. The functions findPostMean() and findPostCov() compute the posterior mean and covariance matrix for decomposable models which, for these models, is available in closed form.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-12-19 14:55:14 UTC; root
Repository: CRAN
Date/Publication: 2016-12-19 16:13:03
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 16:05:15 UTC; windows
Archs: i386, x64
