crrstep: Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model
Version 2015-2.1

Performs forward and backwards stepwise regression for the Proportional subdistribution hazards model in competing risks (Fine & Gray 1999). Procedure uses AIC, BIC and BICcr as selection criteria. BICcr has a penalty of k = log(n*), where n* is the number of primary events.

AuthorRavi Varadhan & Deborah Kuk
Date of publication2015-02-23 23:17:17
MaintainerRavi Varadhan <ravi.varadhan@jhu.edu>
LicenseGPL (>= 2)
Version2015-2.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("crrstep")

Getting started

Package overview

Popular man pages

crrstep: Stepwise regression for competing risks regression
crrstep-package: Stepwise regression procedure for the Fine & Gray regression...
See all...

All man pages Function index File listing

Man pages

crrstep: Stepwise regression for competing risks regression
crrstep-package: Stepwise regression procedure for the Fine & Gray regression...

Functions

crrstep Man page Source code
crrstep-package Man page

Files

inst
inst/NEWS.Rd
NAMESPACE
R
R/crrstep.r
MD5
DESCRIPTION
man
man/crrstep.Rd
man/crrstep-package.Rd
crrstep documentation built on May 19, 2017, 6:25 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.