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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  3 days and 9 hours ago 21 main
conda 74.5 kB | win-64/r-coxrobust-1.0.2-r44hb9d1f71_0.conda  3 days and 9 hours ago 18 main
conda 74.6 kB | win-64/r-coxrobust-1.0.2-r45hb9d1f71_0.conda  3 days and 9 hours ago 25 main
conda 70.9 kB | osx-64/r-coxrobust-1.0.2-r45hde6fdff_0.conda  3 days and 9 hours ago 20 main
conda 71.0 kB | linux-64/r-coxrobust-1.0.2-r44h3704496_0.conda  3 days and 9 hours ago 56 main
conda 71.1 kB | linux-64/r-coxrobust-1.0.2-r45h3704496_0.conda  3 days and 9 hours ago 40 main

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