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SemiMarkov (version 1.4.3)

Multi-States Semi-Markov Models

Description

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.

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Version

Install

install.packages('SemiMarkov')

Monthly Downloads

244

Version

1.4.3

License

GPL (>= 2)

Maintainer

Agnieszka Listwon-Krol

Last Published

January 19th, 2016

Functions in SemiMarkov (1.4.3)

print.hazard

Print method for object of class hazard
summary.hazard

Summary method for objects of class hazard
param.init

Defines the initial values of parameters for a semi-Markov model
summary.semiMarkov

Summary method for objects of class semiMarkov
print.semiMarkov

Print method for object of class semiMarkov
hazard

Computes hazard rates using an object of class semiMarkov or param.init
plot.hazard

Plot method for objects of class hazard
semiMarkov

Parametric estimation in multi-state semi-Markov models
asthma

Asthma control data
table.state

Table giving the numbers of observed transitions