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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 |
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Author | Matthew Friedlander |
Maintainer | Matthew Friedlander <friedla@yorku.ca> |
License | GPL (>= 2) |
Version | 1.0.1 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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