SemiCompRisks: Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data
Version 2.8

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 para- metric models. The package also includes functions for univariate survival analysis as complementary analysis tools.

Package details

AuthorKyu Ha Lee, Catherine Lee, Danilo Alvares, and Sebastien Haneuse
Date of publication2018-01-03 12:58:48 UTC
MaintainerKyu Ha Lee <[email protected]>
LicenseGPL (>= 2)
Version2.8
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SemiCompRisks")

Try the SemiCompRisks package in your browser

Any scripts or data that you put into this service are public.

SemiCompRisks documentation built on Jan. 3, 2018, 10:50 p.m.