SemiMarkov: Multi-States Semi-Markov Models

Functions for fitting multi-state semi-Markov models to longitudinal data. A parametric maximum likelihood estimation method adapted to deal with Exponential, Weibull and Exponentiated Weibull distributions is considered. Right-censoring can be taken into account and both constant and time-varying covariates can be included using a Cox proportional model. Reference: A. Krol and P. Saint-Pierre (2015) <doi:10.18637/jss.v066.i06>.

Version: 1.4.6
Depends: R (≥ 2.10.0), numDeriv, MASS, Rsolnp
Published: 2019-07-02
DOI: 10.32614/CRAN.package.SemiMarkov
Author: Agnieszka Listwon-Krol, Philippe Saint-Pierre
Maintainer: Agnieszka Listwon-Krol <krol at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: SemiMarkov citation info
Materials: NEWS
In views: Survival
CRAN checks: SemiMarkov results


Reference manual: SemiMarkov.pdf


Package source: SemiMarkov_1.4.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SemiMarkov_1.4.6.tgz, r-oldrel (arm64): SemiMarkov_1.4.6.tgz, r-release (x86_64): SemiMarkov_1.4.6.tgz, r-oldrel (x86_64): SemiMarkov_1.4.6.tgz
Old sources: SemiMarkov archive


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