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drimmR
View on CRAN: Click
here
Download and install drimmR package within the R console
Install from CRAN:
install.packages("drimmR")
Install from Github:
library("remotes")
install_github("cran/drimmR") Install by package version:
library("remotes")
install_version("drimmR", "1.0.1") Attach the package and use:
library("drimmR")
Maintained by
Nicolas Vergne
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-22
Latest Update: 2021-05-10
Description:
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), and
Barbu, V.S., Vergne, N. (2019) .
How to cite:
Nicolas Vergne (2021). drimmR: Estimation, Simulation and Reliability of Drifting Markov Models. R package version 1.0.1, https://cran.r-project.org/web/packages/drimmR. Accessed 05 Aug. 2026.
Previous versions and publish date:
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Other R packages that drimmR depends,
imports, suggests or enhances
Complete documentation for drimmR
Functions, R codes and Examples using
the drimmR R package
Some associated functions: aic.dmm . aic . availability . bic.dmm . bic . distributions . drimmR-package . failureRate . fitdmm . getDistribution.dmm . getDistribution . getStationaryLaw.dmm . getStationaryLaw . getTransitionMatrix.dmm . getTransitionMatrix . lambda . lengthWord_probabilities . loglik.dmm . loglik . maintainability . reliability . simulate.dmm . simulate . stationary_distributions . word_probabilities . word_probability . words_probabilities .
Some associated R codes: allgenerics.R . data.R . dmm.R . drimmR-package.R . globals.R . metrics.R . utils.R . word.R . Full drimmR package functions and examples
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