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dtw (version 1.4-3)

Dynamic Time Warping algorithms

Description

Comprehensive implementation of Dynamic Time Warping algorithms in R. DTW finds the optimal (least cumulative distance) mapping between two time series. This package implements all common DTW variants, including local and global constraints, arbitrary timeseries lenghts, distance definitions, etc. Methods provides cumulative distance, warping functions, plots, etc.

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Version

Install

install.packages('dtw')

Monthly Downloads

7,586

Version

1.4-3

License

GPL (>=2)

Maintainer

Toni Giorgino

Last Published

September 19th, 2022

Functions in dtw (1.4-3)

dtw-package

Dynamic Time Warp algorithms in R
dtw-internal

Internal dtw Functions
dtwPlot

Plotting of dynamic time warp results
warp

Apply a warping to a given timeseries
aami

ANSI/AAMI EC13 Test Waveforms, 3a and 3b
dtwPlotTwoWay

Plotting of dynamic time warp results: pointwise comparison
warpArea

Compute Warping Path Area
stepPattern

Local constraints and step patterns for DTW
dtwDist

Compute a dissimilarity matrix
dtw

Dynamic Time Warp
dtwWindowingFunctions

Global constraints and windowing functions for DTW
dtwPlotThreeWay

Plotting of dynamic time warp results: annotated warping function