SurvCorr: Correlation of Bivariate Survival Times
Version 1.0

Estimates correlation coefficients with associated confidence limits for bivariate, partially censored survival times. Uses the iterative multiple imputation approach proposed by Schemper, Kaider, Wakounig and Heinze, Statistics in Medicine 2013. Provides a scatterplot function to visualize the bivariate distribution, either on the original time scale or as copula.

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AuthorMeinhard Ploner, Alexandra Kaider and Georg Heinze
Date of publication2015-02-26 02:18:35
MaintainerGeorg Heinze <georg.heinze@meduniwien.ac.at>
LicenseGPL
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("SurvCorr")

Man pages

diabetes: Diabetes Data
kidney: Kidney Data
plot.survcorr: Plot Correlated Bivariate Survival Times
print.survcorr: Print Method for survcorr Objects
summary.survcorr: Summary Method for survcorr Objects
survcorr: Correlation Analysis of Survival Times by Iterative Multiple...
SurvCorr-package: Correlation Analysis of Survival Times by Iterative Multiple...

Functions

Surv Man page
SurvCorr Man page
SurvCorr-package Man page
diabetes Man page
kidney Man page
pearson Source code
plot Man page
plot.survcorr Man page Source code
print Man page
print.survcorr Man page Source code
summary Man page
summary.survcorr Man page Source code
survcorr Man page Source code

Files

NAMESPACE
data
data/kidney.RData
data/diabetes.RData
R
R/survcorr.R
MD5
DESCRIPTION
man
man/summary.survcorr.Rd
man/survcorr.Rd
man/print.survcorr.Rd
man/SurvCorr-package.Rd
man/plot.survcorr.Rd
man/kidney.Rd
man/diabetes.Rd
SurvCorr documentation built on May 19, 2017, 11:43 p.m.