DESCRIPTION

Type: Package
Package: MHMMR
Title: Multiple Hidden Markov Model Regression ('MHMMR') for Joint Segmentation of Multivariate Time Series
Version: 0.1.0
Authors@R: c(person("Faicel", "Chamroukhi", role = c("aut"),
    email = "faicel.chamroukhi@unicaen.fr",
    comment = c(ORCID = "0000-0002-5894-3103")),
    person("Marius", "Bartcus", role = c("aut"), 
    email = "marius.bartcus@gmail.com"),
    person("Florian", "Lecocq", role = c("aut", "cre"),
    email = "florian.lecocq@outlook.com"))
Description: Flexible and user-friendly probabilistic joint segmentation of 
    time series with regime changes by a multiple regression model governed by 
    a hidden Markov process, fitted by the Baum-Welch (EM) algorithm. See also 
    the packages 'HMMR' and 'MRHLP'.
URL: https://github.com/fchamroukhi/MHMMR
License: GPL (>= 3)
Depends: 
    R (>= 2.10)
Imports: 
    methods,
    stats,
    MASS,
    Rcpp
Suggests: 
    knitr,
    rmarkdown
LinkingTo: 
    Rcpp,
    RcppArmadillo
Collate:
    MHMMR-package.R
    RcppExports.R
    utils.R
    mkStochastic.R
    hmmProcess.R
    MData.R
    ParamMHMMR.R
    StatMHMMR.R
    ModelMHMMR.R
    emMHMMR.R
    selectMHMMR.R
    data-realdataset.R
    data-toydataset.R
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 6.1.1