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SurvCorr  

Correlation of Bivariate Survival Times
View on CRAN: Click here


Download and install SurvCorr package within the R console
Install from CRAN:
install.packages("SurvCorr")

Install from Github:
library("remotes")
install_github("cran/SurvCorr")

Install by package version:
library("remotes")
install_version("SurvCorr", "1.1")



Attach the package and use:
library("SurvCorr")
Maintained by
Georg Heinze
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-02-26
Latest Update: 2022-11-08
Description:
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 (2013) <doi:10.1002/sim.5874>. Provides a scatterplot function to visualize the bivariate distribution, either on the original time scale or as copula.
How to cite:
Georg Heinze (2015). SurvCorr: Correlation of Bivariate Survival Times. R package version 1.1, https://cran.r-project.org/web/packages/SurvCorr
Previous versions and publish date:
1.0 (2015-02-26 02:18)
Other packages that cited SurvCorr R package
View SurvCorr citation profile
Other R packages that SurvCorr depends, imports, suggests or enhances
Functions, R codes and Examples using the SurvCorr R package
Some associated functions: SurvCorr-package . diabetes . kidney . plot.survcorr . print.survcorr . summary.survcorr . survcorr . 
Some associated R codes: survcorr.R .  Full SurvCorr package functions and examples
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