dtw v1.21-3

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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

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