CRAN/E | grpCox

grpCox

Penalized Cox Model for High-Dimensional Data with Grouped Predictors

Installation

About

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.

Key Metrics

Version 1.0.2
Published 2023-12-11 140 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks grpCox results

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Maintainer

Maintainer

Xuan Dang

xuandang11289@gmail.com

Authors

Xuan Dang

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

grpCox archive

Depends

Matrix ≥ 1.6-1.1
MASS
colorspace

Imports

Rcpp ≥ 1.0.11

LinkingTo

Rcpp
RcppEigen