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coxrobust  

Fit Robustly Proportional Hazards Regression Model
View on CRAN: Click here


Download and install coxrobust package within the R console
Install from CRAN:
install.packages("coxrobust")

Install from Github:
library("remotes")
install_github("cran/coxrobust")

Install by package version:
library("remotes")
install_version("coxrobust", "1.0.1")



Attach the package and use:
library("coxrobust")
Maintained by
Shana Scogin
[Scholar Profile | Author Map]
First Published: 2006-03-15
Latest Update: 2022-04-06
Description:
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.
How to cite:
Shana Scogin (2006). coxrobust: Fit Robustly Proportional Hazards Regression Model. R package version 1.0.1, https://cran.r-project.org/web/packages/coxrobust. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0 (2006-03-15 09:12)
Other packages that cited coxrobust R package
View coxrobust citation profile
Other R packages that coxrobust depends, imports, suggests or enhances
Complete documentation for coxrobust
Functions, R codes and Examples using the coxrobust R package
Some associated functions: coxr . coxrject . coxrobust . gen_data . plot.coxr . 
Some associated R codes: CExports.R . coxr.R . coxr.fit.R . coxrobust.R . gen_data.R . plot.coxr.R . predict.coxr.R . print.coxr.R . zzz.R .  Full coxrobust package functions and examples
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