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:

2.70 score 2 scripts 201 downloads 2 exports 9 dependencies

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

TargetResultLatest binary
Doc / VignettesOKJan 13 2025
R-4.5-winOKJan 13 2025
R-4.5-linuxOKJan 13 2025
R-4.4-winOKJan 13 2025
R-4.4-macOKJan 13 2025
R-4.3-winOKJan 13 2025
R-4.3-macOKJan 13 2025

Exports:Survsurvcorr

Dependencies:dotCall64fieldslatticemapsMatrixRcppspamsurvivalviridisLite