drimmR: Estimation, Simulation and Reliability of Drifting Markov Models

Performs the drifting Markov models (DMM) which are non-homogeneous Markov models designed for modeling the heterogeneities of sequences in a more flexible way than homogeneous Markov chains or even hidden Markov models. In this context, we developed an R package dedicated to the estimation, simulation and the exact computation of associated reliability of drifting Markov models. The implemented methods are described in Vergne, N. (2008), <doi:10.2202/1544-6115.1326> and Barbu, V.S., Vergne, N. (2019) <doi:10.1007/s11009-018-9682-8> .

Package details

AuthorNicolas Vergne [aut, cre] (<nicolas.vergne@univ-rouen.fr>), Corentin Lothodé [aut] (<corentin.lothode@univ-angers.fr>), Alexandre Seiller [aut], Victor Mataigne [ctb], Arnaud Lefebvre [ctb], Annthomy Gilles [ctb], Vlad Stefan Barbu [aut] (<vladstefan.barbu@univ-rouen.fr>)
MaintainerNicolas Vergne <nicolas.vergne@univ-rouen.fr>
LicenseGPL-3
Version1.0.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("drimmR")

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drimmR documentation built on Oct. 9, 2026, 5:08 p.m.