itakura, sakoe-chiba, custom).  Package provides minimum
cumulative distance, warping paths, plots, etc.
Packaged: Tue Dec 11 19:25:08 2007; toni

Description: Comprehensive implementation of Dynamic Time Warping
algorithms in R. DTW finds the optimal (least cumulative distance)
mapping between two time series.  All common DTW variants are
covered, including local and global constraints, arbitrary timeseries
lenghts, distance definitions, MVM, etc.  Package computes cumulative
distance, warping functions, plots, normalizations, etc.
Packaged: Sun Sep 28 20:22:59 2008; toni

Packaged: Wed Jan  7 12:11:24 2009; toni

algorithms in R. DTW finds the optimal (least cumulative
distance) mapping between two time series.  All common DTW
variants are covered, including local and global constraints,
arbitrary timeseries lenghts, distance definitions, MVM, etc.
Package computes cumulative distance, warping functions, plots,

Description: 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.  All common DTW variants are covered, including local
(slope) and global (window) constraints, distance definitions,
length normalizations, minimum variance matching, and so on.
Provides cumulative distances, alignments, several plot styles,

Description: A comprehensive implementation of dynamic time warping
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.

Description: 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.