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: 2026-07-24 04:55:35 UTC; root
Config/pak/sysreqs: zlib1g-dev
Repository: https://nicolasv-dev.r-universe.dev
Date/Publication: 2020-01-31 12:30:02 UTC
RemoteUrl: https://github.com/cran/SMM
RemoteRef: HEAD
RemoteSha: f3b14f0517376ee60ec23143994aa81a9e43658e