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-any)SurvCorr_1.1.zip(r-4.6-any)SurvCorr_1.1.zip(r-4.5-any)
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:

3.18 score 1 packages 5 scripts 262 downloads 2 exports 10 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK141
source / vignettesOK179
linux-releaseOK157
macos-releaseOK147
macos-oldrelOK95
windows-develOK83
windows-releaseOK84
windows-oldrelOK85
wasm-releaseOK101

Exports:Survsurvcorr

Dependencies:dotCall64fieldslatticemapsMatrixRColorBrewerRcppspamsurvivalviridisLite