gnu: Add r-huge.
* gnu/packages/cran.scm (r-huge): New variable.
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@ -10309,3 +10309,28 @@ partial least squares and penalization techniques. Model parameters are
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selected via cross-validation, and confidence intervals ans tests for the
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selected via cross-validation, and confidence intervals ans tests for the
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regression coefficients can be conducted via jackknifing.")
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regression coefficients can be conducted via jackknifing.")
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(license license:gpl2+)))
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(license license:gpl2+)))
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(define-public r-huge
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(package
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(name "r-huge")
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(version "1.2.7")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "huge" version))
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(sha256
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(base32
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"134d951x42vy9dcmf155fbvik2934nh6qm2w5jlx3x2c6cf7faq4"))))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-igraph" ,r-igraph)
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("r-lattice" ,r-lattice)
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("r-mass" ,r-mass)
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("r-matrix" ,r-matrix)))
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(home-page "https://cran.r-project.org/web/packages/huge")
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(synopsis "High-dimensional undirected graph estimation")
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(description
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"This package provides a general framework for high-dimensional
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undirected graph estimation. It integrates data preprocessing, neighborhood
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screening, graph estimation, and model selection techniques into a pipeline.")
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(license license:gpl2)))
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