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> .
Version: 1.0.1 Depends: R (≥ 2.10) Imports: seqinr, ggplot2, parallel, future, doParallel, foreach, tidyverse, dplyr, reshape2, Rdpack Suggests: utils, knitr, rmarkdown Published: 2021-05-10 DOI: 10.32614/CRAN.package.drimmR Author: 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] Maintainer: Nicolas Vergne <nicolas.vergne at univ-rouen.fr> License: GPL-3 NeedsCompilation: no Materials: NEWS CRAN checks: drimmR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=drimmR to link to this page.
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