DESCRIPTION

Package: dtwclust
Type: Package
Title: Time Series Clustering Along with Optimizations for the Dynamic Time
    Warping Distance
Version: 5.4.1
Date: 2018-06-10
Depends:
    R (>= 3.2.0),
    methods,
    proxy (>= 0.4-16),
    dtw
Imports:
    parallel,
    stats,
    utils,
    bigmemory,
    clue,
    cluster,
    dplyr,
    flexclust,
    foreach,
    ggplot2,
    ggrepel,
    Matrix,
    nloptr,
    RSpectra,
    Rcpp,
    RcppParallel (>= 4.4.0),
    reshape2,
    shiny,
    shinyjs
Suggests:
    doParallel,
    knitr,
    parallelDist,
    rmarkdown,
    testthat,
    TSclust,
    TSdist
LinkingTo:
    Rcpp,
    RcppArmadillo,
    RcppParallel
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. Implementations of
    DTW barycenter averaging, a distance based on global alignment kernels,
    and the soft-DTW distance and centroid routines are also provided. 
    All included distance functions have custom loops optimized for the 
    calculation of cross-distance matrices, including parallelization support.
    Several cluster validity indices are included.
URL: https://github.com/asardaes/dtwclust
BugReports: https://github.com/asardaes/dtwclust/issues
License: GPL-3
LazyData: TRUE
NeedsCompilation: yes
SystemRequirements: C++11, GNU make
RoxygenNote: 6.0.1
Collate: 
    'CENTROIDS-dba.R'
    'CENTROIDS-sdtw-cent.R'
    'CENTROIDS-shape-extraction.R'
    'CLUSTERING-all-cent2.R'
    'CLUSTERING-compare-clusterings.R'
    'CLUSTERING-cvi-evaluators.R'
    'CLUSTERING-ddist2.R'
    'CLUSTERING-partitional-fuzzy.R'
    'CLUSTERING-repeat-clustering.R'
    'CLUSTERING-tadpole.R'
    'CLUSTERING-tsclust-controls.R'
    'CLUSTERING-tsclust.R'
    'DISTANCES-dtw-basic.R'
    'DISTANCES-dtw-lb.R'
    'DISTANCES-dtw2.R'
    'DISTANCES-gak.R'
    'DISTANCES-lb-improved.R'
    'DISTANCES-lb-keogh.R'
    'DISTANCES-sbd.R'
    'DISTANCES-sdtw.R'
    'GENERICS-cvi.R'
    'S4-Distmat.R'
    'S4-PairTracker.R'
    'S4-SparseDistmat.R'
    'S4-tsclustFamily.R'
    'S4-TSClusters-classes.R'
    'S4-TSClusters-methods.R'
    'SHINY-interactive-clustering.R'
    'SHINY-ssdtwclust.R'
    'SHINY-utils.R'
    'UTILS-as-methods.R'
    'UTILS-compute-envelope.R'
    'UTILS-data.R'
    'UTILS-expressions.R'
    'UTILS-globals-internal.R'
    'UTILS-nccc.R'
    'UTILS-reinterpolate.R'
    'UTILS-rng.R'
    'UTILS-tslist.R'
    'UTILS-utils.R'
    'UTILS-zscore.R'
    'pkg.R'
VignetteBuilder: knitr
Roxygen: list(markdown = TRUE)