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-4.7)SurvCorr_1.1.zip(r-4.6)SurvCorr_1.1.zip(r-4.5)
SurvCorr_1.1.tgz(r-4.6-any)SurvCorr_1.1.tgz(r-4.5-any)
SurvCorr_1.1.tar.gz(r-4.7-any)SurvCorr_1.1.tar.gz(r-4.6-any)
SurvCorr_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SurvCorr/json (API)

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

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

Datasets:

On CRAN:

Conda:

2.70 score 5 scripts 297 downloads 2 exports 10 dependencies

Last updated from:5bd49ed43c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK145
source / vignettesOK148
linux-release-x86_64OK131
macos-release-arm64OK126
macos-oldrel-arm64OK86
windows-develOK129
windows-releaseOK88
windows-oldrelOK89
wasm-releaseOK97

Exports:Survsurvcorr

Dependencies:dotCall64fieldslatticemapsMatrixRColorBrewerRcppspamsurvivalviridisLite