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SemiMarkov (version 1.4.6)

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. Reference: A. Krol and P. Saint-Pierre (2015) .

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Version

Install

install.packages('SemiMarkov')

Monthly Downloads

228

Version

1.4.6

License

GPL (>= 2)

Maintainer

Agnieszka Krol

Last Published

July 2nd, 2019

Functions in SemiMarkov (1.4.6)

summary.semiMarkov

Summary method for objects of class semiMarkov
semiMarkov

Parametric estimation in multi-state semi-Markov models
table.state

Table giving the numbers of observed transitions
hazard

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

Asthma control data
print.semiMarkov

Print method for object of class semiMarkov
summary.hazard

Summary method for objects of class hazard
print.hazard

Print method for object of class hazard
param.init

Defines the initial values of parameters for a semi-Markov model
plot.hazard

Plot method for objects of class hazard