Package: fastcox
Title: Lasso and Elastic-Net Penalized Cox's Regression in High
        Dimensions Models using the Cocktail Algorithm
Version: 1.1.4
Date: 2025-04-29
Authors@R: c(
  person("Yi", "Yang", email = "yi.yang6@mcgill.ca",
  role = c("aut", "cre"), comment = "http://www.math.mcgill.ca/yyang/"),
  person("Hui", "Zou", email = "hzou@stat.umn.edu",
  role = c("aut"), comment = "http://users.stat.umn.edu/~zouxx019/")
  )
Author: Yi Yang [aut, cre] (http://www.math.mcgill.ca/yyang/),
  Hui Zou [aut] (http://users.stat.umn.edu/~zouxx019/)
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:10.4310/SII.2013.v6.n2.a1>.
License: GPL-2
URL: https://github.com/archer-yang-lab/fastcox
Packaged: 2025-05-05 23:20:53 UTC; jiaozi
Repository: CRAN
Date/Publication: 2025-05-05 23:50:02 UTC
NeedsCompilation: yes
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 09:15:14 UTC; unix
Archs: fastcox.so.dSYM
