jointCompRisk: Joint Inference for Competing Risks Data Using Multiple Endpoints

Tools for competing risks trials that allow simultaneous inference on recovery and mortality endpoints. Provides data preparation helpers, standard cumulative incidence estimators (restricted mean time gained/lost), and severity weighted extensions that integrate longitudinal ordinal outcomes to summarise treatment benefit. Methods follow Wen, Wang, and Hu (2023) Biometrics 79(3):1635-1645 <doi:10.1111/biom.13752>.

Version: 0.1.0
Depends: R (≥ 3.5)
Imports: dplyr, magrittr, stats, rlang, survival
Suggests: knitr, rmarkdown, readr, testthat (≥ 3.0.0)
Published: 2025-10-14
DOI: 10.32614/CRAN.package.jointCompRisk (may not be active yet)
Author: Wenqing Zhang [aut, cre], Jiyang Wen [aut], Chen Hu [aut], Meicheng Wang [aut]
Maintainer: Wenqing Zhang <wzhan115 at jhu.edu>
BugReports: https://github.com/cathyzzzhang/jointCompRisk/issues
License: MIT + file LICENSE
URL: https://github.com/cathyzzzhang/jointCompRisk
NeedsCompilation: no
Materials: README
CRAN checks: jointCompRisk results

Documentation:

Reference manual: jointCompRisk.html , jointCompRisk.pdf
Vignettes: Example Analysis (source, R code)
Competing Risks Survival Analysis with jointCompRisk (source, R code)

Downloads:

Package source: jointCompRisk_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): jointCompRisk_0.1.0.tgz, r-oldrel (x86_64): jointCompRisk_0.1.0.tgz

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