Competing Risks Models for Multi-Center Survival Data with Frailty R package FrailtyCompRisk version 0.1.1 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>. Software Depends: R (>= 3.5.0) Imports: Matrix, stats Suggests: dplyr, tibble, kableExtra, knitr, rmarkdown, testthat (>= 3.0.0) Lucas Ducrot <lucas.ducrot@inria.fr> Comprehensive R Archive Network (CRAN) Benjamin Delmas [aut], Lucas Ducrot [aut, cre] (ORCID: <https://orcid.org/0000-0002-8020-2897>), Sandrine Katsahian [aut] (ORCID: <https://orcid.org/0000-0002-7261-0671>), Inria [cph] GPL (>= 3) 2026-04-27 application/tgz https://CRAN.R-project.org/package=FrailtyCompRisk doi:10.32614/CRAN.package.FrailtyCompRisk