Package: fastcox 1.1.3
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>.
Authors:
fastcox_1.1.3.tar.gz
fastcox_1.1.3.tar.gz(r-4.5-noble)fastcox_1.1.3.tar.gz(r-4.4-noble)
fastcox_1.1.3.tgz(r-4.4-emscripten)fastcox_1.1.3.tgz(r-4.3-emscripten)
fastcox.pdf |fastcox.html✨
fastcox/json (API)
# Install 'fastcox' in R: |
install.packages('fastcox', repos = 'https://cloud.r-project.org') |
Bug tracker:https://github.com/emeryyi/fastcox/issues0 issues
- FHT - FHT data introduced in Simon et al. (2011).
Last updated 8 years agofrom:e6770d21cc. Checks:3 OK. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 16 2025 |
R-4.5-linux-x86_64 | OK | Mar 16 2025 |
R-4.4-linux-x86_64 | OK | Mar 16 2025 |
Citation
To cite package ‘fastcox’ in publications use:
Yang Y, Zou H (2017). fastcox: Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm. R package version 1.1.3, https://CRAN.R-project.org/package=fastcox.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {fastcox: Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm}, author = {Yi Yang and Hui Zou}, year = {2017}, note = {R package version 1.1.3}, url = {https://CRAN.R-project.org/package=fastcox}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Lasso and elastic-net penalized Cox's regression in high dimensions models using the cocktail algorithm | fastcox-package |
Fits the regularization paths for the elastic net penalized Cox's model | cocktail |
Cross-validation for cocktail | cv.cocktail cv.survpath |
FHT data introduced in Simon et al. (2011). | FHT |
Plot coefficients from a "cocktail" object | plot.cocktail |
plot the cross-validation curve produced by cv.cocktail | plot.cv.cocktail |
make predictions from a "cocktail" object. | predict.cocktail predict.survpath |
print a cocktail object | print.cocktail |