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✨
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 237 downloads 2 exports 10 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK109
source / vignettesOK132
linux-release-x86_64OK109
macos-release-arm64OK193
macos-oldrel-arm64OK152
windows-develOK91
windows-releaseOK85
windows-oldrelOK118
wasm-releaseOK88

Exports:Survsurvcorr

Dependencies:dotCall64fieldslatticemapsMatrixRColorBrewerRcppspamsurvivalviridisLite