Package: PenCoxFrail 2.0.1

Andreas Groll

PenCoxFrail: Regularization in Cox Frailty Models

Different regularization approaches for Cox Frailty Models by penalization methods are provided. see Groll et al. (2017) <doi:10.1111/biom.12637> for effects selection. See also Groll and Hohberg (2024) <doi:10.1002/bimj.202300020> for classical LASSO approach.

Authors:Andreas Groll [aut, cre]

PenCoxFrail_2.0.1.tar.gz
PenCoxFrail_2.0.1.zip(r-4.7-x86_64)PenCoxFrail_2.0.1.zip(r-4.7-arm64)PenCoxFrail_2.0.1.zip(r-4.6-x86_64)PenCoxFrail_2.0.1.zip(r-4.6-arm64)
PenCoxFrail_2.0.1.tar.gz(r-4.7-arm64)PenCoxFrail_2.0.1.tar.gz(r-4.7-x86_64)PenCoxFrail_2.0.1.tar.gz(r-4.6-arm64)PenCoxFrail_2.0.1.tar.gz(r-4.6-x86_64)
PenCoxFrail_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PenCoxFrail/json (API)

# Install 'PenCoxFrail' in R:
install.packages('PenCoxFrail', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 7 scripts 313 downloads 10 exports 8 dependencies

Last updated from:96cf557184. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK108
linux-devel-x86_64OK131
source / vignettesOK179
linux-release-arm64OK110
linux-release-x86_64OK119
windows-devel-arm64OK218
windows-devel-x86_64OK181
windows-release-arm64OK215
windows-release-x86_64OK123
wasm-releaseOK102

Exports:bs.designcoxFLcoxFLControlcoxlassocoxlassoControlcoxridgecv.coxlassoint.approxpencoxfrailpencoxfrailControl

Dependencies:bdsmatrixcoxmelatticeMatrixnlmeRcppRcppArmadillosurvival