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 245 downloads 2 exports 10 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK122
source / vignettesOK150
linux-release-x86_64OK130
macos-release-arm64OK134
macos-oldrel-arm64OK156
windows-develOK84
windows-releaseOK92
windows-oldrelOK93
wasm-releaseOK91

Exports:Survsurvcorr

Dependencies:dotCall64fieldslatticemapsMatrixRColorBrewerRcppspamsurvivalviridisLite