dtw v1.22-3

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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., as described in Giorgino (2009) <doi:10.18637/jss.v031.i07>.

Functions in dtw

Name Description
dtw Dynamic Time Warp
dtwPlotThreeWay Plotting of dynamic time warp results: annotated warping function
warp Apply a warping to a given timeseries
stepPattern Step patterns for DTW
dtwPlotDensity Display the cumulative cost density with the warping path overimposed
dtw-package Comprehensive implementation of Dynamic Time Warping (DTW) algorithms in R.
aami ANSI/AAMI EC13 Test Waveforms, 3a and 3b
dtwDist Compute a dissimilarity matrix
dtw-internal Internal dtw Functions
dtwPlot Plotting of dynamic time warp results
dtwWindowingFunctions Global constraints and windowing functions for DTW
mvm Minimum Variance Matching algorithm
countPaths Count the number of warping paths consistent with the constraints.
warpArea Compute Warping Path Area
dtwPlotTwoWay Plotting of dynamic time warp results: pointwise comparison
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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 2020-9-26
License GPL (>= 2)
URL https://dynamictimewarping.github.io/, http://dtw.r-forge.r-project.org/
RoxygenNote 7.1.1
Encoding UTF-8
NeedsCompilation yes
Packaged 2020-09-28 12:13:21 UTC; toni
Repository CRAN
Date/Publication 2020-09-28 13:40:07 UTC

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