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: 1.4.4
Depends: R (≥ 2.10.0), numDeriv, MASS, Rsolnp
Published: 2018-05-29
Author: Agnieszka Listwon-Krol, Philippe Saint-Pierre
Maintainer: Agnieszka Listwon-Krol <krol at lunenfeld.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: SemiMarkov citation info
In views: Survival
CRAN checks: SemiMarkov results

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Reference manual: SemiMarkov.pdf
Package source: SemiMarkov_1.4.4.tar.gz
Windows binaries: r-devel: SemiMarkov_1.4.4.zip, r-release: SemiMarkov_1.4.4.zip, r-oldrel: SemiMarkov_1.4.4.zip
OS X binaries: r-release: SemiMarkov_1.4.4.tgz, r-oldrel: SemiMarkov_1.4.4.tgz
Old sources: SemiMarkov archive

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