dtw

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.

Last 30 days

This package has been downloaded 7,248 times in the last 30 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 119 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 83,463 times in the last 365 days. The kind of number that gets mentioned in a keynote speech. Well done! The day with the most downloads was Oct 02, 2024 with 765 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.