greyzoneSurv: Fit a Grey-Zone Model with Survival Data

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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.

Author
Pingping Qu and John Crowley
Date of publication
2015-05-19 09:25:40
Maintainer
Pingping Qu <pingpingq@crab.org>
License
GPL-3
Version
1.0

View on CRAN

Man pages

all.greyzone.funcs
\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("greyzoneSurv")}
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
\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("greyzoneSurv")}
mydata
Package Data

Files in this package

greyzoneSurv
greyzoneSurv/NAMESPACE
greyzoneSurv/data
greyzoneSurv/data/mydata.rda
greyzoneSurv/R
greyzoneSurv/R/greyzoneSurvpackage.R
greyzoneSurv/MD5
greyzoneSurv/build
greyzoneSurv/build/partial.rdb
greyzoneSurv/DESCRIPTION
greyzoneSurv/man
greyzoneSurv/man/cox.summary.Rd
greyzoneSurv/man/bestcut2.Rd
greyzoneSurv/man/greyzoneSurv-package.Rd
greyzoneSurv/man/all.greyzone.funcs.Rd
greyzoneSurv/man/mydata.Rd
greyzoneSurv/man/genSurvData.Rd