Package: mlmts
Type: Package
Title: Machine Learning Algorithms for Multivariate Time Series
Version: 1.1.1
Authors@R: c(
    person("Angel", "Lopez-Oriona", email = "oriona38@hotmail.com", 
    role = c("aut", "cre")),
    person("Jose", "A. Vilar", role = "aut"))
Description: An implementation of several machine learning algorithms for 
    multivariate time series. The package includes functions allowing the
    execution of clustering, classification or outlier detection methods,
    among others. It also incorporates a collection of multivariate time
    series datasets which can be used to analyse the performance of new
    proposed algorithms. Some of these datasets are stored in GitHub data
    packages 'ueadata1' to 'ueadata8'. To access these data packages, run
    'install.packages(c('ueadata1', 'ueadata2', 'ueadata3', 'ueadata4', 'ueadata5', 'ueadata6', 'ueadata7', 'ueadata8'), repos='<https://anloor7.github.io/drat/>')'.
    The installation takes a couple of minutes but we strongly encourage the
    users to do it if they want to have available all datasets of mlmts.
    Practitioners from a broad variety of fields could
    benefit from the general framework provided by 'mlmts'.
License: GPL-2
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.0.0)
RoxygenNote: 7.1.2
Imports: quantspec, waveslim, Rfast, TSclust, forecast, tseries, TSA,
        tsfeatures, tseriesChaos, freqdom, e1071, dtw, base, psych,
        complexplus, MTS, Matrix, ggplot2, multiwave, MASS, fda.usc,
        TSdist, geigen, DescTools, pracma, pspline, Rdpack, stats,
        ClusterR, AID, caret, ranger, igraph, randomForest
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2023-01-22 18:25:39 UTC; angel
Suggests: ueadata1, ueadata2, ueadata3, ueadata4, ueadata5, ueadata6,
        ueadata7, ueadata8, testthat (>= 3.0.0)
Config/testthat/edition: 3
Additional_repositories: https://anloor7.github.io/drat/
Author: Angel Lopez-Oriona [aut, cre],
  Jose A. Vilar [aut]
Maintainer: Angel Lopez-Oriona <oriona38@hotmail.com>
Repository: CRAN
Date/Publication: 2023-01-22 21:30:02 UTC
Built: R 4.2.3; ; 2024-04-24 03:44:12 UTC; windows
