Package: SMM
Type: Package
Title: Simulation and Estimation of Multi-State Discrete-Time
        Semi-Markov and Markov Models
Version: 1.0.2
Date: 2020-01-24
Depends: seqinr, DiscreteWeibull
Author: Vlad Stefan Barbu, Caroline Berard, Dominique Cellier, Mathilde Sautreuil and Nicolas Vergne
Maintainer: Nicolas Vergne <nicolas.vergne@univ-rouen.fr>
Description: Performs parametric and non-parametric estimation and simulation for multi-state discrete-time semi-Markov processes. 
	For the parametric estimation, several discrete distributions are considered for the sojourn times: Uniform, Geometric, Poisson, Discrete Weibull and Negative Binomial. The non-parametric estimation concerns the sojourn time distributions, where no assumptions are done on the shape of distributions. 
	Moreover, the estimation can be done on the basis of one or several sample paths, with or without censoring at the beginning or/and at the end of the sample paths. The implemented methods are described in Barbu, V.S., Limnios, N. (2008) <doi:10.1007/978-0-387-73173-5>, Barbu, V.S., Limnios, N. (2008) <doi:10.1080/10485250701261913> and 
	Trevezas, S., Limnios, N. (2011) <doi:10.1080/10485252.2011.555543>. 
	Estimation and simulation of discrete-time k-th order Markov chains are also considered.
License: GPL
VignetteBuilder: utils
Suggests: utils
NeedsCompilation: no
Packaged: 2020-01-31 12:02:17 UTC; vergnnic
Repository: CRAN
Date/Publication: 2020-01-31 13:30:02 UTC
Built: R 4.6.0; ; 2026-04-25 18:06:13 UTC; unix
