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# Copyright 2013-2018 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class RGlmnet(RPackage):
"""Extremely efficient procedures for fitting the entire lasso or
elastic-net regularization path for linear regression, logistic and
multinomial regression models, Poisson regression and the Cox model. Two
recent additions are the multiple-response Gaussian, and the grouped
multinomial. The algorithm uses cyclical coordinate descent in a path-wise
fashion, as described in the paper linked to via the URL below."""
homepage = "https://cran.rstudio.com/web/packages/glmnet/index.html"
url = "https://cran.rstudio.com/src/contrib/glmnet_2.0-13.tar.gz"
list_url = "https://cran.r-project.org/src/contrib/Archive/glmnet"
version('2.0-13', '1dd5636388df5c3a29207d0bf1253343')
version('2.0-5', '049b18caa29529614cd684db3beaec2a')
depends_on('r-matrix', type=('build', 'run'))
depends_on('r-foreach', type=('build', 'run'))
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