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-4.5)coxrobust_1.0.2.zip(r-4.4)coxrobust_1.0.2.zip(r-4.3)
coxrobust_1.0.2.tgz(r-4.5-x86_64)coxrobust_1.0.2.tgz(r-4.5-arm64)coxrobust_1.0.2.tgz(r-4.4-x86_64)coxrobust_1.0.2.tgz(r-4.4-arm64)coxrobust_1.0.2.tgz(r-4.3-x86_64)coxrobust_1.0.2.tgz(r-4.3-arm64)
coxrobust_1.0.2.tar.gz(r-4.5-noble)coxrobust_1.0.2.tar.gz(r-4.4-noble)
coxrobust_1.0.2.tgz(r-4.4-emscripten)coxrobust_1.0.2.tgz(r-4.3-emscripten)
coxrobust.pdf |coxrobust.html
coxrobust/json (API)
NEWS

# 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-Forge:

4.05 score 3 stars 2 packages 21 scripts 263 downloads 3 mentions 2 exports 5 dependencies

Last updated 3 years agofrom:02b5f6b2aa. Checks:4 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-win-x86_64NOTEMar 03 2025
R-4.5-mac-x86_64NOTEMar 03 2025
R-4.5-mac-aarch64NOTEMar 03 2025
R-4.5-linux-x86_64NOTEMar 03 2025
R-4.4-win-x86_64NOTEMar 03 2025
R-4.4-mac-x86_64NOTEMar 03 2025
R-4.4-mac-aarch64NOTEMar 03 2025
R-4.3-win-x86_64OKMar 03 2025
R-4.3-mac-x86_64OKMar 03 2025
R-4.3-mac-aarch64OKMar 03 2025

Exports:coxrgen_data

Dependencies:latticeMatrixRcppRcppArmadillosurvival