Package: coxrobust 1.0.2

coxrobust: Fit Robustly Proportional Hazards Regression Model

An implementation of robust estimation in Cox model. Functionality includes fitting efficiently and robustly Cox proportional hazards regression model in its basic form, where explanatory variables are time independent with one event per subject. Method is based on a smooth modification of the partial likelihood.

Authors:Tadeusz Bednarski [aut], Filip Borowicz [aut], Shana Scogin [cre]

coxrobust_1.0.2.tar.gz
coxrobust_1.0.2.zip(r-4.7-x86_64)coxrobust_1.0.2.zip(r-4.7-arm64)coxrobust_1.0.2.zip(r-4.6-x86_64)coxrobust_1.0.2.zip(r-4.6-arm64)coxrobust_1.0.2.zip(r-4.5-x86_64)
coxrobust_1.0.2.tgz(r-4.6-x86_64)coxrobust_1.0.2.tgz(r-4.6-arm64)coxrobust_1.0.2.tgz(r-4.5-x86_64)coxrobust_1.0.2.tgz(r-4.5-arm64)
coxrobust_1.0.2.tar.gz(r-4.7-arm64)coxrobust_1.0.2.tar.gz(r-4.7-x86_64)coxrobust_1.0.2.tar.gz(r-4.6-arm64)coxrobust_1.0.2.tar.gz(r-4.6-x86_64)
coxrobust_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
coxrobust/json (API)

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

Bug tracker:https://github.com/shanascogin/coxrobust/issues

On CRAN:

Conda:

4.85 score 3 stars 2 packages 26 scripts 585 downloads 3 mentions 2 exports 5 dependencies

Last updated from:dd31a92b0e. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK104
linux-devel-x86_64OK118
source / vignettesOK192
linux-release-arm64OK104
linux-release-x86_64OK115
macos-release-arm64OK143
macos-release-x86_64OK364
macos-oldrel-arm64OK217
macos-oldrel-x86_64OK255
windows-devel-arm64OK362
windows-devel-x86_64OK136
windows-release-arm64OK350
windows-release-x86_64OK91
windows-oldrel-x86_64OK90
wasm-releaseOK81

Exports:coxrgen_data

Dependencies:latticeMatrixRcppRcppArmadillosurvival