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: yes
Packaged: 2016-12-27 13:56:30 UTC; hornik
Repository: CRAN
Date/Publication: 2016-12-27 15:28:19
Built: R 4.1.0; x86_64-apple-darwin17.0; 2021-05-26 19:11:21 UTC; unix
Archs: bayesloglin.so.dSYM
