An R Package that implements robust estimation in Cox model.

coxrobust is an R package that implements robust Cox model estimation. The 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. The method is based on a smooth modification of the partial likelihood. The original package was created by Tadeusz Bednarski and Filip Borowicz in 2006 and orphaned in 2022, after which the maintenance was taken over by Shana Scogin. The changes to coxrobust during the handover of maintainers were minimal and focused on the operation of the package itself and not the functions. Please see the documentation for functions coxr() and plot.coxr() for more.

Please submit an issue if you encounter any bugs or problems with the package.