https://teamheka.r-universe.devRecent package updates in teamhekaR-universehttps://github.com/teamheka.pnghttps://teamheka.r-universe.devThu, 23 Apr 2026 11:38:45 GMTlucas.ducrot@inria.fr (Lucas Ducrot)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>.https://github.com/r-universe/teamheka/actions/runs/38057898143Thu, 23 Apr 2026 11:38:45 GMTFrailtyCompRisk0.1.1successhttps://teamheka.r-universe.devhttps://github.com/teamheka/frailtycompriskFrailtyCompRisk.RmdFrailtyCompRisk.htmlFrailtyCompRisk2025-07-28 13:18:402025-07-28 13:18:40