TSdist: Distance Measures for Time Series Data

A set of commonly used distance measures and some additional functions which, although initially not designed for this purpose, can be used to measure the dissimilarity between time series. These measures can be used to perform clustering, classification or other data mining tasks which require the definition of a distance measure between time series.

Version: 3.4
Depends: R (≥ 3.0.3), proxy
Imports: zoo, xts, dtw, TSclust, KernSmooth, locpol, pdc, longitudinalData, cluster, methods, graphics, stats
Suggests: testthat
Published: 2017-04-28
Author: Usue Mori, Alexander Mendiburu, J.A. Lozano
Maintainer: Usue Mori <usue.mori at ehu.eus>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: TSdist citation info
In views: TimeSeries
CRAN checks: TSdist results


Reference manual: TSdist.pdf
Package source: TSdist_3.4.tar.gz
Windows binaries: r-devel: TSdist_3.4.zip, r-release: TSdist_3.4.zip, r-oldrel: TSdist_3.4.zip
OS X El Capitan binaries: r-release: TSdist_3.4.tgz
OS X Mavericks binaries: r-oldrel: TSdist_3.4.tgz
Old sources: TSdist archive

Reverse dependencies:

Reverse suggests: dtwclust


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