Learn R Programming

greyzoneSurv (version 1.0)

Fit a Grey-Zone Model with Survival Data

Description

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.

Copy Link

Version

Install

install.packages('greyzoneSurv')

Monthly Downloads

10

Version

1.0

License

GPL-3

Maintainer

Pingping Qu

Last Published

May 19th, 2015

Functions in greyzoneSurv (1.0)

cox.summary

Summarize after Fitting Cox regression
mydata

Package Data
genSurvData

Simulate Survival Outcome Given Marker Values
greyzone.funcs

\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("#1")}greyzoneSurvFit a Grey-Zone Model with Survival Data
bestcut2

Find an Optimal Cutoff for the 2-group Model
greyzoneSurv-package

\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("#1")}greyzoneSurvFit a Grey-Zone Model with Survival Data