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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: grpCox results


Reference manual: grpCox.pdf


Package source: grpCox_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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