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.
Version: | 1.1 |
Depends: | R (≥ 3.0.2) |
Imports: | survival, fields |
Published: | 2022-11-08 |
DOI: | 10.32614/CRAN.package.SurvCorr |
Author: | Georg Heinze [aut, cre], Meinhard Ploner [aut], Alexandra Kaider [aut], Gregor Steiner [aut] |
Maintainer: | Georg Heinze <georg.heinze at meduniwien.ac.at> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
NeedsCompilation: | no |
Materials: | README |
In views: | Survival |
CRAN checks: | SurvCorr results |
Reference manual: | SurvCorr.pdf |
Package source: | SurvCorr_1.1.tar.gz |
Windows binaries: | r-devel: SurvCorr_1.1.zip, r-release: SurvCorr_1.1.zip, r-oldrel: SurvCorr_1.1.zip |
macOS binaries: | r-release (arm64): SurvCorr_1.1.tgz, r-oldrel (arm64): SurvCorr_1.1.tgz, r-release (x86_64): SurvCorr_1.1.tgz, r-oldrel (x86_64): SurvCorr_1.1.tgz |
Old sources: | SurvCorr archive |
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