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.

AuthorAgnieszka Listwon-Krol, Philippe Saint-Pierre
Date of publication2016-01-19 09:00:08
MaintainerAgnieszka Listwon-Krol <agnieszka.krol@isped.u-bordeaux2.fr>
LicenseGPL (>= 2)
Version1.4.3

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Files

SemiMarkov
SemiMarkov/inst
SemiMarkov/inst/CITATION
SemiMarkov/tests
SemiMarkov/tests/test.R
SemiMarkov/NAMESPACE
SemiMarkov/data
SemiMarkov/data/asthma.rda
SemiMarkov/R
SemiMarkov/R/SemiMarkov.r
SemiMarkov/MD5
SemiMarkov/DESCRIPTION
SemiMarkov/man
SemiMarkov/man/param.init.Rd SemiMarkov/man/summary.semiMarkov.Rd SemiMarkov/man/print.semiMarkov.Rd SemiMarkov/man/semiMarkov.Rd SemiMarkov/man/plot.hazard.Rd SemiMarkov/man/hazard.Rd SemiMarkov/man/summary.hazard.Rd SemiMarkov/man/print.hazard.Rd
SemiMarkov/man/asthma.rd
SemiMarkov/man/table.state.rd

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