Package: FrailtyCompRisk Title: Competing Risks Models for Multi-Center Survival Data with Frailty Version: 0.1.1 Authors@R: c(person("Benjamin", "Delmas", email = "benjamin.delmas@ensae.fr", role = "aut"), person("Lucas", "Ducrot", email = "lucas.ducrot@inria.fr", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8020-2897")), person("Sandrine", "Katsahian", email = "sandrine.katsahian@aphp.fr", role = "aut", comment = c(ORCID = "0000-0002-7261-0671")), person(given = "Inria", role = "cph")) Description: 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) . License: GPL (>= 3) Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Depends: R (>= 3.5.0) Imports: Matrix, stats Suggests: dplyr, tibble, kableExtra, knitr, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr URL: https://github.com/TeamHeKA/FrailtyCompRisk BugReports: https://github.com/TeamHeKA/FrailtyCompRisk/issues Config/testthat/edition: 3 Repository: https://teamheka.r-universe.dev Date/Publication: 2026-04-23 11:38:45 UTC RemoteUrl: https://github.com/teamheka/frailtycomprisk RemoteRef: HEAD RemoteSha: 1ecb40de29151eba3d6364a24ccf39adb86821a1 NeedsCompilation: no Packaged: 2026-10-10 14:03:26 UTC; root Author: Benjamin Delmas [aut], Lucas Ducrot [aut, cre] (ORCID: ), Sandrine Katsahian [aut] (ORCID: ), Inria [cph] Maintainer: Lucas Ducrot