gnu: Add r-glmnet.
* gnu/packages/statistics.scm (r-glmnet): New variable.
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@ -2244,6 +2244,32 @@ singular and eigenvalue decompositions, as well as for principal component
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analysis of large sparse or dense matrices.")
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analysis of large sparse or dense matrices.")
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(license (list license:gpl2+ license:gpl3+))))
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(license (list license:gpl2+ license:gpl3+))))
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(define-public r-glmnet
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(package
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(name "r-glmnet")
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(version "2.0-5")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "glmnet" version))
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(sha256
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(base32
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"1cbpzmbv837fvq88rgn6mgzgr9f1wqp9fg8gh2kkmngvr1957a9c"))))
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(build-system r-build-system)
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(inputs
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`(("gfortran" ,gfortran)))
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(propagated-inputs
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`(("r-foreach" ,r-foreach)))
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(home-page "http://www.jstatsoft.org/v33/i01")
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(synopsis "Lasso and elastic-net regularized generalized linear models")
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(description
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"The glmnet package provides efficient procedures for fitting the entire
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lasso or elastic-net regularization path for linear and Poisson regression, as
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well as logistic, multinomial, Cox, multiple-response Gaussian and grouped
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multinomial models. The algorithm uses cyclical coordinate descent in a
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path-wise fashion.")
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(license license:gpl2+)))
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(define-public r-pkgmaker
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(define-public r-pkgmaker
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(package
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(package
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(name "r-pkgmaker")
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(name "r-pkgmaker")
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