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Source: r-cran-learnbayes
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders: Andreas Tille <tille@debian.org>
Section: gnu-r
Priority: optional
Build-Depends: debhelper-compat (= 12),
dh-r,
r-base-dev
Standards-Version: 4.5.0
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-learnbayes
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-learnbayes.git
Homepage: https://cran.r-project.org/package=LearnBayes
Rules-Requires-Root: no
Package: r-cran-learnbayes
Architecture: all
Depends: ${R:Depends},
${misc:Depends}
Recommends: ${R:Recommends}
Suggests: ${R:Suggests}
Description: GNU R functions for learning bayesian inference
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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