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 glibc

2.76 score 19 scripts 697 downloads 3 mentions 4 exports 2 dependencies

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

Target	Result	Time
linux-devel-arm64	OK	161
linux-devel-x86_64	OK	126
source / vignettes	OK	167
linux-release-arm64	OK	123
linux-release-x86_64	OK	117
macos-release-arm64	OK	124
macos-release-x86_64	OK	238
macos-oldrel-arm64	OK	97
macos-oldrel-x86_64	OK	351
windows-devel	OK	95
windows-release	OK	92
windows-oldrel	OK	144
wasm-release	OK	91

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