bayesloglin

R package 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.

References in zbMATH (referenced in 1 article )

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  1. Matthew Friedlander: The Bayesian analysis of contingency table data using the bayesloglin R package (2016) arXiv