dtw v1.20-1

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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
dtw-internal Internal dtw Functions
dtwPlotThreeWay Plotting of dynamic time warp results: annotated warping function
dtwWindowingFunctions Global constraints and windowing functions for DTW
dtwPlot Plotting of dynamic time warp results
dtw-package dtw
mvm Minimum Variance Matching algorithm
dtw Dynamic Time Warp
warp Apply a warping to a given timeseries
dtwDist Compute a dissimilarity matrix
countPaths Count the number of possible warping paths
aami ANSI/AAMI EC13 Test Waveforms, 3a and 3b
stepPattern Step patterns for DTW
warpArea Compute Warping Path Area
triangleFixing Triangle Fixing algorithm for Metric Nearness
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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 2018-5-17
License GPL (>= 2)
URL http://dtw.r-forge.r-project.org/
NeedsCompilation yes
Packaged 2018-05-17 17:01:52 UTC; toni
Repository CRAN
Date/Publication 2018-05-18 05:47:54 UTC

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