Type: Package
Package: samurais
Title: Statistical Models for the Unsupervised Segmentation of
        Time-Series ('SaMUraiS')
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: Provides a variety of original and flexible user-friendly 
    statistical latent variable models and unsupervised learning algorithms to 
    segment and represent time-series data (univariate or multivariate), and 
    more generally, longitudinal data, which include regime changes. 
    'samurais' is built upon the following packages, each of them is an 
    autonomous time-series segmentation approach: Regression with Hidden 
    Logistic Process ('RHLP'), Hidden Markov Model Regression ('HMMR'), 
    Multivariate 'RHLP' ('MRHLP'), Multivariate 'HMMR' ('MHMMR'), Piece-Wise 
    regression ('PWR'). For the advantages/differences of each of them, the 
    user is referred to our mentioned paper references.
URL: https://github.com/fchamroukhi/SaMUraiS
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: methods, stats, MASS, Rcpp
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
Collate: samurais-package.R RcppExports.R utils.R dynamicProg.R
        fitPWRFisher.R mkStochastic.R hmmProcess.R MData.R ParamHMMR.R
        ParamMHMMR.R ParamMRHLP.R ParamPWR.R ParamRHLP.R StatHMMR.R
        StatMHMMR.R StatMRHLP.R StatPWR.R StatRHLP.R ModelHMMR.R
        ModelMHMMR.R ModelMRHLP.R ModelPWR.R ModelRHLP.R emHMMR.R
        emMHMMR.R emMRHLP.R emRHLP.R selectHMMR.R selectMHMMR.R
        selectMRHLP.R selectRHLP.R data-multivrealdataset.R
        data-multivtoydataset.R data-univrealdataset.R
        data-univtoydataset.R
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-07-25 16:23:38 UTC; lecocq191
Author: Faicel Chamroukhi [aut] (<https://orcid.org/0000-0002-5894-3103>),
  Marius Bartcus [aut],
  Florian Lecocq [aut, cre]
Maintainer: Florian Lecocq <florian.lecocq@outlook.com>
Repository: CRAN
Date/Publication: 2019-07-28 09:50:02 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 04:52:45 UTC; windows
Archs: i386, x64
