Package: fastcox
Title: Lasso and Elastic-Net Penalized Cox's Regression in High
        Dimensions Models using the Cocktail Algorithm
Version: 1.1.3
Date: 2017-09-12
Author: Yi Yang <yi.yang6@mcgill.ca>, Hui Zou <hzou@stat.umn.edu>
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Imports: Matrix, methods
Description: 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>.
License: GPL-2
URL: https://github.com/emeryyi/fastcox
Packaged: 2026-06-10 09:07:22 UTC; root
Repository: https://archer-yang-lab.r-universe.dev
Date/Publication: 2017-09-15 02:01:03 UTC
RemoteUrl: https://github.com/archer-yang-lab/fastcox
RemoteRef: HEAD
RemoteSha: 2560941353d1042412ce55065050af6b8ba1280d
NeedsCompilation: yes