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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 FrailtyCompRisk_0.1.1.tar.gz 90.9 KiB
0.1.1 rolling linux/noble R-4.5 FrailtyCompRisk_0.1.1.tar.gz 91.0 KiB
0.1.1 rolling source/ R- FrailtyCompRisk_0.1.1.tar.gz 34.4 KiB
0.1.1 latest linux/jammy R-4.5 FrailtyCompRisk_0.1.1.tar.gz 90.9 KiB
0.1.1 latest linux/noble R-4.5 FrailtyCompRisk_0.1.1.tar.gz 91.0 KiB
0.1.1 latest source/ R- FrailtyCompRisk_0.1.1.tar.gz 34.4 KiB
0.1.1 2026-04-23 source/ R- FrailtyCompRisk_0.1.1.tar.gz 0 B

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