bayesloglin: Bayesian Analysis of Contingency Table Data

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.

Package details

AuthorMatthew Friedlander
MaintainerMatthew Friedlander <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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bayesloglin documentation built on May 1, 2019, 9:45 p.m.