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 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) . License: GPL-2 URL: https://github.com/archer-yang-lab/fastcox Packaged: 2026-10-14 09:16:42 UTC; root NeedsCompilation: yes Repository: https://cran.r-universe.dev Date/Publication: 2025-05-06 02:16:00 UTC RemoteUrl: https://github.com/cran/fastcox RemoteRef: HEAD RemoteSha: 51b5367d0eeb17b6fcfcf1a8c5e248ba6145024b