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.

Getting started

Package details

AuthorTadeusz Bednarski [aut], Filip Borowicz [aut], Shana Scogin [cre] (<https://orcid.org/0000-0002-7801-853X>)
MaintainerShana Scogin <shanarscogin@gmail.com>
LicenseGPL-3
Version1.0.1
URL https://github.com/ShanaScogin/coxrobust
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("coxrobust")

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coxrobust documentation built on April 6, 2022, 5:06 p.m.