Package: dtwclust
Type: Package
Title: Time Series Clustering Along with Optimizations for the Dynamic Time
    Warping Distance
Version: 3.1.0
Date: 2017-01-07
Depends:
    R (>= 3.2.0),
    proxy (>= 0.4-16),
    clue,
    dtw,
    ggplot2
Imports:
    methods,
    parallel,
    stats,
    utils,
    caTools,
    flexclust,
    foreach,
    Rcpp,
    reshape2,
    rngtools
Suggests:
    TSdist,
    TSclust,
    cluster,
    doParallel,
    testthat,
    knitr
LinkingTo: Rcpp
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>
Description: Time series clustering along with optimized techniques related
    to the Dynamic Time Warping distance and its corresponding lower bounds.
    Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole
    clustering are available. Functionality can be easily extended with
    custom distance measures and centroid definitions.
URL: https://github.com/asardaes/dtwclust
BugReports: https://github.com/asardaes/dtwclust/issues
License: GPL-3
LazyData: TRUE
NeedsCompilation: yes
RoxygenNote: 5.0.1
Collate:
    'DBA.R'
    'GAK.R'
    'NCCc.R'
    'SBD.R'
    'TADPole.R'
    'all-cent.R'
    'compute-envelop.R'
    'create-dtwclust.R'
    'cvi.R'
    'ddist.R'
    'dtw-basic.R'
    'dtw-lb.R'
    'dtw2.R'
    'dtwclust-classes.R'
    'dtwclust-methods.R'
    'dtwclust.R'
    'fuzzy.R'
    'lb-improved.R'
    'lb-keogh.R'
    'partitional.R'
    'utils.R'
    'pkg.R'
    'reinterpolate.R'
    'shape-extraction.R'
    'uciCT.R'
    'zscore.R'
VignetteBuilder: knitr