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 
[aut, cre],
Sandrine Katsahian
[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:
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