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gnu: r-glmnet: Move to (gnu packages cran).
* gnu/packages/statistics.scm (r-glmnet): Move from here... * gnu/packages/cran.scm (r-glmnet): ...to here. Change-Id: I07139fc8e9e428015a4cd1b62c42f3b53229b9b7
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@@ -4536,6 +4536,36 @@ and combinations thereof. Implements the machinery described in the paper
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2015, Volume 24, Issue 3). Michael Lim & Trevor Hastie (2015)")
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(license license:gpl2)))
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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 "4.1-8")
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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 "1znw1p1mi7nv39l7albcg6sfxj7a1jyjw85hb3ginv870z7fbnqx"))))
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(build-system r-build-system)
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(native-inputs
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(list gfortran r-knitr r-testthat))
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(propagated-inputs
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(list r-foreach
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r-matrix
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r-rcpp
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r-rcppeigen
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r-shape
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r-survival))
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(home-page "https://www.jstatsoft.org/article/view/v033i01")
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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-glmpca
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(package
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(name "r-glmpca")
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@@ -1961,36 +1961,6 @@ matrices. It includes Cholesky decomposition and backsolving as well as
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standard R subsetting and Kronecker products.")
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(license license:gpl2+)))
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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 "4.1-8")
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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 "1znw1p1mi7nv39l7albcg6sfxj7a1jyjw85hb3ginv870z7fbnqx"))))
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(build-system r-build-system)
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(native-inputs
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(list gfortran r-knitr r-testthat))
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(propagated-inputs
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(list r-foreach
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r-matrix
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r-rcpp
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r-rcppeigen
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r-shape
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r-survival))
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(home-page "https://www.jstatsoft.org/article/view/v033i01")
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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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(package
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(name "r-pkgmaker")
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