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FrailtyCompRisk: Competing Risks Models for Multi-Center Survival Data with Frailty

Implements methods for analyzing competing risks data in multi-center survival studies using frailty models. The approach relies on a mixed proportional hazards model for the sub-distribution, allowing for cluster-specific random effects. The package provides tools for model estimation with or without frailty using Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML). It supports flexible modeling of between-center heterogeneity and is particularly suited for multi-center clinical trials or registries. Core features include data simulation, likelihood computation, cluster-dependent censoring options, and testing of frailty effects. For methodological details, see Katsahian et al. (2006) <doi:10.1002/sim.2684>.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: Matrix, stats
Suggests: dplyr, tibble, kableExtra, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-04-27
DOI: 10.32614/CRAN.package.FrailtyCompRisk (may not be active yet)
Author: Benjamin Delmas [aut], Lucas Ducrot ORCID iD [aut, cre], Sandrine Katsahian ORCID iD [aut], Inria [cph]
Maintainer: Lucas Ducrot <lucas.ducrot at inria.fr>
BugReports: https://github.com/TeamHeKA/FrailtyCompRisk/issues
License: GPL (≥ 3)
URL: https://github.com/TeamHeKA/FrailtyCompRisk
NeedsCompilation: no
Citation: FrailtyCompRisk citation info
Materials: README, NEWS
CRAN checks: FrailtyCompRisk results

Documentation:

Reference manual: FrailtyCompRisk.html , FrailtyCompRisk.pdf
Vignettes: FrailtyCompRisk (source, R code)

Downloads:

Package source: FrailtyCompRisk_0.1.1.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): not available, r-oldrel (x86_64): not available

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.