greyzoneSurv: Fit a Grey-Zone Model with Survival Data
Version 1.0

Allows one to classify patients into low, intermediate, and high risk groups for disease progression based on a continuous marker that is associated with progression-free survival. It uses a latent class model to link the marker and survival outcome and produces two cutoffs for the marker to divide patients into three groups. See the References section for more details.

AuthorPingping Qu and John Crowley
Date of publication2015-05-19 09:25:40
MaintainerPingping Qu <pingpingq@crab.org>
LicenseGPL-3
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("greyzoneSurv")

Getting started

Package overview

Popular man pages

all.greyzone.funcs: Fit a Grey-Zone Model with Survival Data
bestcut2: Find an Optimal Cutoff for the 2-group Model
cox.summary: Summarize after Fitting Cox regression
genSurvData: Simulate Survival Outcome Given Marker Values
greyzoneSurv-package: Fit a Grey-Zone Model with Survival Data
mydata: Package Data
See all...

All man pages Function index File listing

Man pages

all.greyzone.funcs: Fit a Grey-Zone Model with Survival Data
bestcut2: Find an Optimal Cutoff for the 2-group Model
cox.summary: Summarize after Fitting Cox regression
genSurvData: Simulate Survival Outcome Given Marker Values
greyzoneSurv-package: Fit a Grey-Zone Model with Survival Data
mydata: Package Data

Functions

bestcut2 Man page Source code
cov.func Man page Source code
cox.summary Man page Source code
em.func Man page Source code
genSurvData Man page Source code
greyzone Man page
greyzone.func Man page Source code
greyzoneSurv-package Man page
mydata Man page

Files

NAMESPACE
data
data/mydata.rda
R
R/greyzoneSurvpackage.R
MD5
build
build/partial.rdb
DESCRIPTION
man
man/cox.summary.Rd
man/bestcut2.Rd
man/greyzoneSurv-package.Rd
man/all.greyzone.funcs.Rd
man/mydata.Rd
man/genSurvData.Rd
greyzoneSurv documentation built on May 19, 2017, 10:32 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.