SemiCompRisks: Hierarchical Models for Parametric and Semi-Parametric Analyses
of Semi-Competing Risks Data
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.
| Version: |
3.4 |
| Depends: |
MASS, survival, Formula, R (≥ 3.3.0) |
| Suggests: |
R.rsp |
| Published: |
2021-02-03 |
| Author: |
Kyu Ha Lee, Catherine Lee, Danilo Alvares, and Sebastien Haneuse |
| Maintainer: |
Kyu Ha Lee <klee15239 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| In views: |
Survival |
| CRAN checks: |
SemiCompRisks results |
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