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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install.packages("drimmR")

1.0.4 by Nicolas Vergne, 2 days ago


Browse source code at https://github.com/cran/drimmR


Authors: Nicolas Vergne [aut, cre] (<[email protected]>) , Corentin Lothodé [aut] (<[email protected]>) , Alexandre Seiller [aut] , Victor Mataigne [ctb] , Arnaud Lefebvre [ctb] , Annthomy Gilles [ctb] , Vlad Stefan Barbu [aut] (<[email protected]>)


Documentation:   PDF Manual  


GPL-3 license


Imports seqinr, ggplot2, parallel, parallelly, doParallel, foreach, dplyr, Rdpack, reshape2

Suggests knitr, rmarkdown


See at CRAN