fastcox: Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm

We implement a cocktail algorithm, a good mixture of coordinate decent, the majorization-minimization principle and the strong rule, for computing the solution paths of the elastic net penalized Cox's proportional hazards model. The package is an implementation of Yang, Y. and Zou, H. (2013) DOI: <doi:10.4310/SII.2013.v6.n2.a1>.

Version:	1.1.3
Imports:	Matrix, methods
Published:	2017-09-15
DOI:	10.32614/CRAN.package.fastcox
Author:	Yi Yang, Hui Zou
Maintainer:	Yi Yang <yi.yang6 at mcgill.ca>
License:	GPL-2
URL:	https://github.com/emeryyi/fastcox
NeedsCompilation:	yes
Materials:	ChangeLog
In views:	Survival
CRAN checks:	fastcox results

Documentation:

Reference manual:

fastcox.pdf

Downloads:

Package source:	fastcox_1.1.3.tar.gz
Windows binaries:	r-devel: fastcox_1.1.3.zip, r-release: fastcox_1.1.3.zip, r-oldrel: fastcox_1.1.3.zip
macOS binaries:	r-release (arm64): fastcox_1.1.3.tgz, r-oldrel (arm64): fastcox_1.1.3.tgz, r-release (x86_64): fastcox_1.1.3.tgz, r-oldrel (x86_64): fastcox_1.1.3.tgz
Old sources:	fastcox archive

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