SemiCompRisks (version 3.4)

Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data

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.

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Install

install.packages('SemiCompRisks')

Monthly Downloads

367

Version

3.4

License

GPL (>= 2)

Maintainer

Last Published

February 3rd, 2021

Functions in SemiCompRisks (3.4)