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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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