r-learnbayes

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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.

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Versions 2.15
License GPL (>= 2)
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-learnbayes

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-learnbayes

and update with:

conda update r-learnbayes

docker

A Docker container is available at https://quay.io/repository/biocontainers/r-learnbayes.