1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
|
# Copyright 2013-2022 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.package import *
class RGlmnet(RPackage):
"""Lasso and Elastic-Net Regularized Generalized Linear Models.
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."""
cran = "glmnet"
version('4.1-3', sha256='64bc35aa40b6e580cfb8a21e649eb103e996e8747a10c476b8bb9545c846325a')
version('4.1', sha256='8f0af50919f488789ecf261f6e0907f367d89fca812baa2f814054fb2d0e40cb')
version('2.0-18', sha256='e8dce9d7b8105f9cc18ba981d420de64a53b09abee219660d3612915d554256b')
version('2.0-13', sha256='f3288dcaddb2f7014d42b755bede6563f73c17bc87f8292c2ef7776cb9b9b8fd')
version('2.0-5', sha256='2ca95352c8fbd93aa7800f3d972ee6c1a5fcfeabc6be8c10deee0cb457fd77b1')
depends_on('r@3.6.0:', type=('build', 'run'), when='@4.1:')
depends_on('r-matrix@1.0-6:', type=('build', 'run'))
depends_on('r-foreach', type=('build', 'run'))
depends_on('r-shape', type=('build', 'run'), when='@4.1:')
depends_on('r-survival', type=('build', 'run'), when='@4.1:')
depends_on('r-rcpp', type=('build', 'run'), when='@4.1-3:')
depends_on('r-rcppeigen', type=('build', 'run'), when='@4.1-3:')
|
