SurvCorr: Correlation of Bivariate Survival Times

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.

Author
Meinhard Ploner, Alexandra Kaider and Georg Heinze
Date of publication
2015-02-26 02:18:35
Maintainer
Georg Heinze <georg.heinze@meduniwien.ac.at>
License
GPL
Version
1.0

View on CRAN

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...

Files in this package

SurvCorr
SurvCorr/NAMESPACE
SurvCorr/data
SurvCorr/data/kidney.RData
SurvCorr/data/diabetes.RData
SurvCorr/R
SurvCorr/R/survcorr.R
SurvCorr/MD5
SurvCorr/DESCRIPTION
SurvCorr/man
SurvCorr/man/summary.survcorr.Rd
SurvCorr/man/survcorr.Rd
SurvCorr/man/print.survcorr.Rd
SurvCorr/man/SurvCorr-package.Rd
SurvCorr/man/plot.survcorr.Rd
SurvCorr/man/kidney.Rd
SurvCorr/man/diabetes.Rd