CRAN/E | drimmR

drimmR

Estimation, Simulation and Reliability of Drifting Markov Models

Installation

About

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 .

Key Metrics

Version 1.0.1
R ≥ 2.10
Published 2021-05-10 1081 days ago
Needs compilation? no
License GPL-3
CRAN checks drimmR results

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Maintainer

Maintainer

Nicolas Vergne

nicolas.vergne@univ-rouen.fr

Authors

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

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

drimmR archive

Depends

R ≥ 2.10

Imports

seqinr
ggplot2
parallel
future
doParallel
foreach
tidyverse
dplyr
reshape2
Rdpack

Suggests

utils
knitr
rmarkdown