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. U. Mori, A. Mendiburu and J.A. Lozano (2016), <doi:10.32614/RJ-2016-058>.

Version:	3.7.1
Depends:	R (≥ 3.0.3), proxy
Imports:	cluster, dtw, graphics, KernSmooth, locpol, longitudinalData, methods, pdc, stats, TSclust, xts, zoo
Suggests:	testthat
Published:	2022-08-31
DOI:	10.32614/CRAN.package.TSdist
Author:	Usue Mori [aut, cre], Alexander Mendiburu [aut], Jose A. Lozano [aut], Duarte Folgado [ctb]
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

Documentation:

Reference manual:

TSdist.pdf

Downloads:

Package source:	TSdist_3.7.1.tar.gz
Windows binaries:	r-devel: TSdist_3.7.1.zip, r-release: TSdist_3.7.1.zip, r-oldrel: TSdist_3.7.1.zip
macOS binaries:	r-release (arm64): TSdist_3.7.1.tgz, r-oldrel (arm64): TSdist_3.7.1.tgz, r-release (x86_64): TSdist_3.7.1.tgz, r-oldrel (x86_64): TSdist_3.7.1.tgz
Old sources:	TSdist archive

Reverse dependencies:

Reverse depends:	dbcsp
Reverse imports:	LSDinterface, mlmts, SenTinMixt

Linking:

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