CRAN/E | dtw

dtw

Dynamic Time Warping Algorithms

Installation

About

A comprehensive implementation of dynamic time warping (DTW) algorithms in R. DTW computes the optimal (least cumulative distance) alignment between points of two time series. Common DTW variants covered include local (slope) and global (window) constraints, subsequence matches, arbitrary distance definitions, normalizations, minimum variance matching, and so on. Provides cumulative distances, alignments, specialized plot styles, etc., as described in Giorgino (2009) doi:10.18637/jss.v031.i07.

Citation dtw citation info
dynamictimewarping.github.io/
dtw.r-forge.r-project.org/

Key Metrics

Version 1.23-1
R ≥ 2.10.0
Published 2022-09-19 577 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks dtw results

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Maintainer

Maintainer

Toni Giorgino

toni.giorgino@gmail.com

Authors

Toni Giorgino

aut / cre

Material

ChangeLog
Reference manual
Package source

In Views

TimeSeries

Vignettes

Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

dtw archive

Depends

R ≥ 2.10.0
proxy

Imports

graphics
grDevices
stats
utils

Reverse Depends

dtwclust
mFLICA
verification
VLTimeCausality

Reverse Imports

CellTrails
DTWBI
dtwSat
DTWUMI
MarketMatching
mlmts
mtconnectR
NNS
sarp.snowprofile.alignment
soundgen
ssMousetrack
ts2net
TSclust
tscR
TSdist
warbleR

Reverse Suggests

IncDTW
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