gnu: Add r-mcmc.
* gnu/packages/cran.scm (r-mcmc): New variable.
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@ -10361,3 +10361,27 @@ different regularized regression methods: lasso, adaptive lasso, PLS, and
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Ridge Regression. In addition, the package provides model selection for
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Ridge Regression. In addition, the package provides model selection for
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lasso, adaptive lasso and Ridge regression based on cross-validation.")
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lasso, adaptive lasso and Ridge regression based on cross-validation.")
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(license license:gpl2+)))
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(license license:gpl2+)))
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(define-public r-mcmc
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(package
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(name "r-mcmc")
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(version "0.9-5")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "mcmc" version))
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(sha256
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(base32
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"1i3rahph8pbhi5dsyjnkazqklg4lhh3azlyvx4kvabx50q0awxn6"))))
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(build-system r-build-system)
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(home-page "http://www.stat.umn.edu/geyer/mcmc/")
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(synopsis "Markov chain Monte Carlo")
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(description
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"This package simulates continuous distributions of random vectors using
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@dfn{Markov chain Monte Carlo} (MCMC). Users specify the distribution by an R
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function that evaluates the log unnormalized density. Algorithms are random
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walk Metropolis algorithm (function @code{metrop}), simulated
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tempering (function @code{temper}), and morphometric random walk
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Metropolis (function @code{morph.metrop}), which achieves geometric ergodicity
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by change of variable.")
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(license license:expat)))
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