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r / packages / r-bayesloglin

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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conda 310.9 kB | linux-64/r-bayesloglin-1.0.1-r42h76d94ec_0.tar.bz2  2 years and 8 months ago 61 main
conda 319.9 kB | win-64/r-bayesloglin-1.0.1-r361hda5aaf8_0.tar.bz2  4 years and 11 months ago 49 main
conda 310.2 kB | osx-64/r-bayesloglin-1.0.1-r36h46e59ec_0.tar.bz2  4 years and 11 months ago 25 main
conda 311.4 kB | linux-64/r-bayesloglin-1.0.1-r36h96ca727_0.tar.bz2  4 years and 11 months ago 66 main

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