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10 lines
509 B
Plaintext
10 lines
509 B
Plaintext
LearnBayes contains a collection of functions helpful in learning
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the basic tenets of Bayesian statistical inference. It contains
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functions for summarizing basic one and two parameter posterior
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distributions and predictive distributions. It contains MCMC
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algorithms for summarizing posterior distributions defined by the
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user. It also contains functions for regression models, hierarchical
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models, Bayesian tests, and illustrations of Gibbs sampling.
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WWW: https://cran.r-project.org/web/packages/LearnBayes/
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