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.

Version: 1.0.1
Depends: R (≥ 2.0.0)
Imports: survival
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0), knitr
Published: 2022-04-06
Author: Tadeusz Bednarski [aut], Filip Borowicz [aut], Shana Scogin ORCID iD [cre]
Maintainer: Shana Scogin <shanarscogin at>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
In views: Robust, Survival
CRAN checks: coxrobust results


Reference manual: coxrobust.pdf


Package source: coxrobust_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): coxrobust_1.0.1.tgz, r-oldrel (arm64): coxrobust_1.0.1.tgz, r-release (x86_64): coxrobust_1.0.1.tgz, r-oldrel (x86_64): coxrobust_1.0.1.tgz
Old sources: coxrobust archive

Reverse dependencies:

Reverse imports: modeLLtest


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