e52adf9611
LearnBayes contains a collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.
6 lines
429 B
Text
6 lines
429 B
Text
$NetBSD: distinfo,v 1.1 2020/08/07 02:52:56 brook Exp $
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SHA1 (R/LearnBayes_2.15.1.tar.gz) = f9c2347ad1b681fd3a3b1dc4f08edb32d5b1bf8a
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RMD160 (R/LearnBayes_2.15.1.tar.gz) = 8c8007222e6bf9e4d0be29640431d2c3c9ea9863
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SHA512 (R/LearnBayes_2.15.1.tar.gz) = 3534c49db81a3205b2b806db0a3f5f8540c5cb1cb6f927b9305c3ba80e8b955f1b0877285d7ff360e78416569ad6e82bdc519979538faa58b0e0d37ede6e71e7
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Size (R/LearnBayes_2.15.1.tar.gz) = 794622 bytes
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