grpCox: Penalized Cox Model for High-Dimensional Data with Grouped Predictors

Fit the penalized Cox models with both non-overlapping and overlapping grouped penalties including the group lasso, group smoothly clipped absolute deviation, and group minimax concave penalty. The algorithms combine the MM approach and group-wise descent with some computational tricks including the screening, active set, and warm-start. Different tuning regularization parameter methods are provided.

Version:	1.0.2
Depends:	Matrix (≥ 1.6-1.1), MASS, colorspace
Imports:	Rcpp (≥ 1.0.11)
LinkingTo:	Rcpp, RcppEigen
Published:	2023-12-11
DOI:	10.32614/CRAN.package.grpCox
Author:	Xuan Dang
Maintainer:	Xuan Dang <xuandang11289 at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	grpCox results

Documentation:

Reference manual:

grpCox.pdf

Downloads:

Package source:	grpCox_1.0.2.tar.gz
Windows binaries:	r-devel: grpCox_1.0.2.zip, r-release: grpCox_1.0.2.zip, r-oldrel: grpCox_1.0.2.zip
macOS binaries:	r-release (arm64): grpCox_1.0.2.tgz, r-oldrel (arm64): grpCox_1.0.2.tgz, r-release (x86_64): grpCox_1.0.2.tgz, r-oldrel (x86_64): grpCox_1.0.2.tgz
Old sources:	grpCox archive

Linking:

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