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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 |
| 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 |
| 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: SemiMarkov_1.4.6.zip, r-release: SemiMarkov_1.4.6.zip, r-oldrel: SemiMarkov_1.4.6.zip |
| 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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