Estimation, Simulation and Reliability of Drifting Markov Models R package drimmR version 1.0.3 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> . Software Depends: R (>= 2.10) Imports: seqinr, ggplot2, parallel, parallelly, doParallel, foreach, dplyr, Rdpack, reshape2 Suggests: utils, knitr, rmarkdown Nicolas Vergne <nicolas.vergne@univ-rouen.fr> Comprehensive R Archive Network (CRAN) Nicolas 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>) GPL-3 2026-02-12 application/tgz https://CRAN.R-project.org/package=drimmR doi:10.32614/CRAN.package.drimmR