Package: SemiCompRisks
Type: Package
Title: Hierarchical Models for Parametric and Semi-Parametric Analyses
        of Semi-Competing Risks Data
Version: 3.4
Date: 2021-2-2
Author: Kyu Ha Lee, Catherine Lee, Danilo Alvares, and Sebastien
        Haneuse
Maintainer: Kyu Ha Lee <klee15239@gmail.com>
Description: Hierarchical multistate models are considered to perform
        the analysis of independent/clustered semi-competing risks
        data. The package allows to choose the specification for model
        components from a range of options giving users substantial
        flexibility, including: accelerated failure time or
        proportional hazards regression models; parametric or
        non-parametric specifications for baseline survival functions
        and cluster-specific random effects distribution; a Markov or
        semi-Markov specification for terminal event following
        non-terminal event. While estimation is mainly performed within
        the Bayesian paradigm, the package also provides the maximum
        likelihood estimation approach for several parametric models.
        The package also includes functions for univariate survival
        analysis as complementary analysis tools.
License: GPL (>= 2)
Suggests: R.rsp
VignetteBuilder: R.rsp
Depends: MASS, survival, Formula, R (>= 3.3.0)
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2026-10-10 17:54:23 UTC; root
Repository: https://kleest0.r-universe.dev
Date/Publication: 2021-02-03 12:40:02 UTC
RemoteUrl: https://github.com/cran/SemiCompRisks
RemoteRef: HEAD
RemoteSha: 75c1efe6a72b404cdad9c96d345e46c0fd15e77a
Built: R 4.6.0; wasm32-unknown-emscripten; 2026-10-10 17:56:54 UTC; unix
