greyzoneSurv: Fit a Grey-Zone Model with Survival Data

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

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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

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