Package: fastcox 1.1.4

Yi Yang

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:10.4310/SII.2013.v6.n2.a1>.

Authors:Yi Yang [aut, cre], Hui Zou [aut]

fastcox_1.1.4.tar.gz
fastcox_1.1.4.tar.gz(r-4.7-arm64)fastcox_1.1.4.tar.gz(r-4.7-x86_64)fastcox_1.1.4.tar.gz(r-4.6-arm64)fastcox_1.1.4.tar.gz(r-4.6-x86_64)
fastcox_1.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
fastcox/json (API)

# Install 'fastcox' in R:
install.packages('fastcox', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/archer-yang-lab/fastcox/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • FHT - FHT data introduced in Simon et al. (2011).

On CRAN:

Conda:

fortran

2.06 score 2 stars 19 scripts 752 downloads 3 mentions 4 exports 2 dependencies

Last updated from:51b5367d0e. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK110
linux-devel-x86_64OK119
source / vignettesOK141
linux-release-arm64OK117
linux-release-x86_64OK120
wasm-releaseOK103

Exports:cocktailcv.cocktailcv.survpathpredict.cocktail

Dependencies:latticeMatrix