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:Yi Yang <[email protected]>, Hui Zou <[email protected]>

fastcox_1.1.3.tar.gz
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fastcox_1.1.3.tgz(r-4.6-x86_64)fastcox_1.1.3.tgz(r-4.6-arm64)fastcox_1.1.3.tgz(r-4.5-x86_64)fastcox_1.1.3.tgz(r-4.5-arm64)
fastcox_1.1.3.tar.gz(r-4.7-arm64)fastcox_1.1.3.tar.gz(r-4.7-x86_64)fastcox_1.1.3.tar.gz(r-4.6-arm64)fastcox_1.1.3.tar.gz(r-4.6-x86_64)
fastcox_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
fastcox/json (API)

# Install 'fastcox' in R:

install.packages('fastcox', repos = c('https://archer-yang-lab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/emeryyi/fastcox/issues

Uses libs:

fortran– Runtime library for GNU Fortran applications

Datasets:

FHT - FHT data introduced in Simon et al. (2011).

On CRAN:

fortran

2.73 score 18 scripts 727 downloads 3 mentions 4 exports 2 dependencies

Last updated from:2560941353. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	136
linux-devel-x86_64	OK	117
source / vignettes	OK	137
linux-release-arm64	OK	163
linux-release-x86_64	OK	113
macos-release-arm64	OK	146
macos-release-x86_64	OK	489
macos-oldrel-arm64	OK	100
macos-oldrel-x86_64	OK	212
windows-devel	OK	108
windows-release	OK	116
windows-oldrel	OK	163
wasm-release	OK	100

Exports:cocktail cv.cocktail cv.survpath predict.cocktail

Dependencies:lattice Matrix

Citation

Development and contributors

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