dtw v1.21-3

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by Toni Giorgino View Source

Dynamic Time Warping Algorithms

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.

Functions in dtw

Name	Description
dtwPlotTwoWay	Plotting of dynamic time warp results: pointwise comparison
dtwDist	Compute a dissimilarity matrix
dtwPlot	Plotting of dynamic time warp results
aami	ANSI/AAMI EC13 Test Waveforms, 3a and 3b
countPaths	Count the number of warping paths consistent with the constraints.
dtwPlotThreeWay	Plotting of dynamic time warp results: annotated warping function
dtw-internal	Internal dtw Functions
dtw	Dynamic Time Warp
dtwPlotDensity	Display the cumulative cost density with the warping path overimposed
dtw-package	Comprehensive implementation of Dynamic Time Warping (DTW) algorithms in R.
warp	Apply a warping to a given timeseries
stepPattern	Step patterns for DTW
dtwWindowingFunctions	Global constraints and windowing functions for DTW
warpArea	Compute Warping Path Area
mvm	Minimum Variance Matching algorithm
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Vignettes of dtw

Name
figures/alignMVM.pdf
figures/mvmSP.pdf
figures/object-diagram.pdf
figures/plot-conventions.pdf
dtw.Rnw
dtw.bib
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Details

Type	Package
Date	2019-8-17
License	GPL (>= 2)
URL	https://dynamictimewarping.github.io/, http://dtw.r-forge.r-project.org/
RoxygenNote	6.1.1
Encoding	UTF-8
NeedsCompilation	yes
Packaged	2019-09-01 06:26:40 UTC; toni
Repository	CRAN
Date/Publication	2019-09-01 06:50:02 UTC

imports	graphics , grDevices , stats , utils
depends	proxy , R (>= 2.10.0)
Contributors	Toni Giorgino