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), and Barbu, V.S., Vergne, N. (2019) .


Reference manual

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1.0.1 by Nicolas Vergne, 7 months ago

Browse source code at

Authors: Vlad Stefan Barbu [aut] , Geoffray Brelurut [ctb] , Annthomy Gilles [ctb] , Arnaud Lefebvre [ctb] , Corentin Lothode [aut] , Victor Mataigne [ctb] , Alexandre Seiller [aut] , Nicolas Vergne [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports seqinr, ggplot2, parallel, future, doParallel, foreach, tidyverse, dplyr, reshape2, Rdpack

Suggests utils, knitr, rmarkdown

See at CRAN