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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.

copied from cf-post-staging / r-coxrobust
Type Size Name Uploaded Downloads Labels
conda 71.2 kB | osx-64/r-coxrobust-1.0.2-r44hde6fdff_0.conda  6 days and 19 hours ago 21 main
conda 74.5 kB | win-64/r-coxrobust-1.0.2-r44hb9d1f71_0.conda  6 days and 19 hours ago 19 main
conda 74.6 kB | win-64/r-coxrobust-1.0.2-r45hb9d1f71_0.conda  6 days and 19 hours ago 26 main
conda 70.9 kB | osx-64/r-coxrobust-1.0.2-r45hde6fdff_0.conda  6 days and 19 hours ago 20 main
conda 71.0 kB | linux-64/r-coxrobust-1.0.2-r44h3704496_0.conda  6 days and 19 hours ago 65 main
conda 71.1 kB | linux-64/r-coxrobust-1.0.2-r45h3704496_0.conda  6 days and 19 hours ago 48 main

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