dtw (1.18-1)

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.

Maintainer: Toni Giorgino
Author(s): Toni Giorgino <toni.giorgino@gmail.com>,

License: GPL (>= 2)

Uses: proxy
Reverse depends: ChemometricsWithR, dtwclust, dtwSat, mFLICA, TSclust, verification, VLTimeCausality
Reverse suggests: ChemometricsWithR, IncDTW, parallelDist, refund, rucrdtw

Released over 4 years ago.