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: 1.3.1
Depends: numDeriv, MASS, Rsolnp
Published: 2014-06-16
Author: Agnieszka Listwon-Krol, Philippe Saint-Pierre
Maintainer: Agnieszka Listwon-Krol <agnieszka.krol at isped.u-bordeaux2.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: Survival
CRAN checks: SemiMarkov results

Downloads:

Reference manual: SemiMarkov.pdf
Package source: SemiMarkov_1.3.1.tar.gz
Windows binaries: r-devel: SemiMarkov_1.3.1.zip, r-release: SemiMarkov_1.3.1.zip, r-oldrel: SemiMarkov_1.3.1.zip
OS X Snow Leopard binaries: r-release: SemiMarkov_1.3.1.tgz, r-oldrel: SemiMarkov_1.3.1.tgz
OS X Mavericks binaries: r-release: SemiMarkov_1.3.1.tgz
Old sources: SemiMarkov archive