Multistate models (Markov and semi-Markov) for modelling evolution of chronic diseases with extensions such as the additive relative survival approach.

Documentation for package ‘Multistate’ version 0.1

Multistate-package	Multistate models
dataDIVAT	A sample of the DIVAT cohort.
fr.ratetable	Expected mortality rates of the general French population.
m3	Computes a 3-state parametric Markov model by likelihood maximization
m4	Computes a 4-state parametric Markov model by likelihood maximization
mrs3	Computes a 3-state parametric additive relative survival Markov model by likelihood maximization
mrs4	Computes a 4-state parametric additive relative survival Markov model by likelihood maximization
Multistate	Multistate models
sm3	Computes a 3-state parametric semi-Markov model by likelihood maximization
sm4	Computes a 4-state parametric semi-Markov model by likelihood maximization
smrs3	Computes a 3-state parametric additive relative survival semi-Markov model by likelihood maximization
smrs4	Computes a 4-state parametric additive relative survival semi-Markov model by likelihood maximization
usa.ratetable	Expected mortality rates of the general United States population.