Package: drimmR 1.0.4

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> .

Authors:Nicolas Vergne [aut, cre], Corentin Lothodé [aut], Alexandre Seiller [aut], Victor Mataigne [ctb], Arnaud Lefebvre [ctb], Annthomy Gilles [ctb], Vlad Stefan Barbu [aut]

drimmR_1.0.4.tar.gz
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drimmR_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
drimmR/json (API)

# Install 'drimmR' in R:

install.packages('drimmR', repos = c('https://nicolasv-dev.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

lambda - Lambda genome

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 3 scripts 366 downloads 18 exports 46 dependencies

Last updated from:7bf9d4a154. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	201
source / vignettes	OK	350
linux-release	OK	155
macos-release	OK	124
macos-oldrel	OK	114
windows-devel	OK	86
windows-release	OK	114
windows-oldrel	OK	109
wasm-release	OK	102

Exports:aic availability bic distributions failureRate fitdmm getDistribution getStationaryLaw getTransitionMatrix lengthWord_probabilities loglik maintainability reliability simulate stationary_distributions word_probabilities word_probability words_probabilities

Dependencies:ade4 cli codetools cpp11 doParallel dplyr farver foreach generics ggplot2 glue gtable isoband iterators labeling lattice lifecycle magrittr MASS nlme parallelly pillar pixmap pkgconfig plyr R6 rbibutils RColorBrewer Rcpp RcppArmadillo Rdpack reshape2 rlang S7 scales segmented seqinr sp stringi stringr tibble tidyselect utf8 vctrs viridisLite withr

drimmR : R Package for Estimation, Simulation and Reliability of drifting Markov Models

Rendered fromdrimmR.Rmdusingknitr::rmarkdown

Last update: 2026-10-09
Started: 2026-10-09

Help page	Topics
drimmR-package	drimmR-package drimmR
Akaike Information Criterion (AIC)	aic
Evaluate the AIC of a drifting Markov Model	aic.dmm
Availability function	availability
Bayesian Information Criterion (BIC)	bic
Evaluate the BIC of a drifting Markov Model	bic.dmm
Distributions for a range of positions between <start> and <end>	distributions
Failure rates function	failureRate
Point by point estimates of a k-th order drifting Markov Model	fitdmm
Distributions of the drifting Markov Model	getDistribution
Get the distributions of the DMM	getDistribution.dmm
Stationary laws of the drifting Markov Model	getStationaryLaw
Get the stationary laws of the DMM	getStationaryLaw.dmm
Transition matrix of the drifting Markov Model	getTransitionMatrix
Get transition matrix of the drifting Markov Model	getTransitionMatrix.dmm
lambda genome	lambda
Probability of occurrence of the observed word of size m in a sequence at several positions	lengthWord_probabilities
Log-likelihood of the drifting Markov Model	loglik
Evaluate the log-likelihood of a drifting Markov Model	loglik.dmm
Maintainability function	maintainability
Reliability function	reliability
Simulate a sequence under a drifting Markov model	simulate
Simulate a sequence under a drifting Markov model	simulate.dmm
Stationary laws for a range of positions between <start> and <end>	stationary_distributions
Probabilities of a word at several positions of a DMM	word_probabilities
Probability of a word at a position t of a DMM	word_probability
Probability of appearance of several words at several positions of a DMM	words_probabilities

Package: drimmR 1.0.4

drimmR: Estimation, Simulation and Reliability of Drifting Markov Models

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