CRAN/E | bayesloglin

bayesloglin

Bayesian Analysis of Contingency Table Data

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About

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.

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Version 1.0.1
Published 2016-12-27 2670 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Matthew Friedlander

friedla@yorku.ca

Authors

Matthew Friedlander

Material

Reference manual
Package source

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bayesloglin-R-package

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Old Sources

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Depends

igraph