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FrailtyCompRisk
View on CRAN: Click
here
Download and install FrailtyCompRisk package within the R console
Install from CRAN:
install.packages("FrailtyCompRisk")
Install from Github:
library("remotes")
install_github("cran/FrailtyCompRisk") Install by package version:
library("remotes")
install_version("FrailtyCompRisk", "0.1.1") Attach the package and use:
library("FrailtyCompRisk")
Maintained by
Lucas Ducrot
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[Scholar Profile | Author Map]
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First Published: 2026-04-27
Latest Update: 2026-04-27
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) <doi:10.1002/sim.2684>.
How to cite:
Lucas Ducrot (2026). FrailtyCompRisk: Competing Risks Models for Multi-Center Survival Data with Frailty. R package version 0.1.1, https://cran.r-project.org/web/packages/FrailtyCompRisk. Accessed 24 Oct. 2026.
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