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r_test / packages / r-bayesloglin 1.0.1

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.

Installers

  • linux-64 v1.0.1
  • osx-64 v1.0.1
  • win-64 v1.0.1

conda install

To install this package run one of the following:
conda install r_test::r-bayesloglin

Description


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