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.

Version: 1.4.2
Depends: R (≥ 2.10.0), numDeriv, MASS, Rsolnp
Published: 2015-08-04
Author: Agnieszka Listwon-Krol, Philippe Saint-Pierre
Maintainer: Agnieszka Listwon-Krol <agnieszka.krol at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: SemiMarkov citation info
In views: Survival
CRAN checks: SemiMarkov results


Reference manual: SemiMarkov.pdf
Package source: SemiMarkov_1.4.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: SemiMarkov_1.4.2.tgz, r-oldrel: SemiMarkov_1.4.1.tgz
OS X Mavericks binaries: r-release: SemiMarkov_1.4.2.tgz
Old sources: SemiMarkov archive