Package: epclust
Title: Clustering Individual Electricity Power Curves
Description: Electric Power curves CLUSTering, through their wavelets
    decomposition. The main function 'claws' takes (usually long) time-series
    in input, and return as many clusters centers as requested, along with their
    ranks and synchrones (sum of all curves in one group).
    For the method, see ?claws and https://arxiv.org/abs/1101.4744.
    For usage examples, see ?claws and package vignette.
Version: 0.1-0
Author: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
    Jairo Cugliari <Jairo.Cugliari@univ-lyon2.fr> [aut],
    Yannig Goude <Yannig.Goude@edf.fr> [ctb],
    Jean-Michel Poggi <Jean-Michel.Poggi@math.u-psud.fr> [ctb]
Maintainer: Benjamin Auder <Benjamin.Auder@math.u-psud.fr>
Depends:
    R (>= 3.0.0)
Imports:
    methods,
    parallel,
    cluster,
    bigmemory,
    wavelets,
    Rwave
Suggests:
    synchronicity,
    devtools,
    testthat,
    roxygen2,
    MASS,
    wmtsa,
    DBI,
    digest
License: MIT + file LICENSE
RoxygenNote: 5.0.1
Collate:
    'main.R'
    'clustering.R'
    'de_serialize.R'
    'A_NAMESPACE.R'
    'computeSynchrones.R'
    'computeWerDists.R'
    'plot.R'
    'utils.R'