crrSC: Competing risks regression for Stratified and Clustered data
Version 1.1

Extension of cmprsk to Stratified and Clustered data. Goodness of fit test for Fine-Gray model.

AuthorBingqing Zhou and Aurelien Latouche
Date of publication2013-06-23 00:24:34
MaintainerAurelien Latouche <aurelien.latouche@cnam.fr>
LicenseGPL-2
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("crrSC")

Popular man pages

bce: Breast Cancer Data
cdata: Clustered competing risks simulated data
center: Multicenter Bone Marrow transplantation data
crrc: Competing Risks Regression for Clustered Data
crrs: Competing Risks Regression for Stratified Data
internal-crrSC: For internal use
pshtest: Goodness-of-fit test for proportional subdistribution hazards...
See all...

All man pages Function index File listing

Man pages

bce: Breast Cancer Data
cdata: Clustered competing risks simulated data
center: Multicenter Bone Marrow transplantation data
crrc: Competing Risks Regression for Clustered Data
crrs: Competing Risks Regression for Stratified Data
internal-crrSC: For internal use
print.crrs: Print method for crrs output
pshtest: Goodness-of-fit test for proportional subdistribution hazards...

Functions

bce Man page
cdata Man page
center Man page
crrc Man page Source code
crrfs Man page Source code
crrfsvs Man page Source code
crrs Man page Source code
crrvvs Man page Source code
mycrr Source code
mycrr.test Source code
onLoad Source code
print.crrs Man page Source code
psh.test Man page Source code

Files

MD5
src
src/crrcs.c
src/crrcc.c
src/crrc.c
man
man/pshtest.Rd
man/print.crrs.Rd
man/internal-crrSC.Rd
man/crrs.Rd
man/crrc.Rd
man/center.Rd
man/cdata.Rd
man/bce.Rd
data
data/center.RData
data/cdata.RData
data/bce.RData
README
R
R/zzz.r
R/pshtest.r
R/crrs.r
R/crrcc.r
NAMESPACE
DESCRIPTION
crrSC documentation built on May 20, 2017, 12:45 a.m.

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

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

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