Package: SurvCorr 1.1

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 (2013) <doi:10.1002/sim.5874>. Provides a scatterplot function to visualize the bivariate distribution, either on the original time scale or as copula.

Authors:Georg Heinze [aut, cre], Meinhard Ploner [aut], Alexandra Kaider [aut], Gregor Steiner [aut]

SurvCorr_1.1.tar.gz
SurvCorr_1.1.zip(r-4.5)SurvCorr_1.1.zip(r-4.4)SurvCorr_1.1.zip(r-4.3)
SurvCorr_1.1.tgz(r-4.4-any)SurvCorr_1.1.tgz(r-4.3-any)
SurvCorr_1.1.tar.gz(r-4.5-noble)SurvCorr_1.1.tar.gz(r-4.4-noble)
SurvCorr_1.1.tgz(r-4.4-emscripten)SurvCorr_1.1.tgz(r-4.3-emscripten)
SurvCorr.pdf |SurvCorr.html✨
SurvCorr/json (API)

# Install 'SurvCorr' in R:
install.packages('SurvCorr', repos = c('https://georgheinze.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/georgheinze/survcorr/issues

Datasets:

On CRAN:

2 exports 0.62 score 9 dependencies 2 scripts 167 downloads

Last updated 2 years agofrom:5bd49ed43c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winOKSep 15 2024
R-4.5-linuxOKSep 15 2024
R-4.4-winOKSep 15 2024
R-4.4-macOKSep 15 2024
R-4.3-winOKSep 15 2024
R-4.3-macOKSep 15 2024

Exports:Survsurvcorr

Dependencies:dotCall64fieldslatticemapsMatrixRcppspamsurvivalviridisLite