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: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | seqinr, Biostrings, testthat, stats, ggplot2, parallel, future, doParallel, foreach, tidyverse, dplyr, reshape2, Rdpack |
| Suggests: | utils, knitr, rmarkdown |
| Published: | 2021-03-22 |
| 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 |
| Reference manual: | drimmR.pdf |
| Package source: | drimmR_1.0.0.tar.gz |
| Windows binaries: | r-devel: drimmR_1.0.0.zip, r-release: drimmR_1.0.0.zip, r-oldrel: drimmR_1.0.0.zip |
| macOS binaries: | r-release: drimmR_1.0.0.tgz, r-oldrel: drimmR_1.0.0.tgz |
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