drimmR: 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), <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.