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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.

copied from cf-staging / r-dtw
Type Size Name Uploaded Downloads Labels
conda 795.5 kB | win-64/r-dtw-1.21_3-r36h301d43c_0.tar.bz2  5 years and 7 months ago 1421 main cf202003
conda 790.9 kB | win-64/r-dtw-1.21_3-r35h301d43c_0.tar.bz2  5 years and 7 months ago 1374 main cf202003
conda 768.8 kB | osx-64/r-dtw-1.21_3-r36h01d97ff_0.tar.bz2  5 years and 7 months ago 375 main cf202003
conda 767.6 kB | osx-64/r-dtw-1.21_3-r35h01d97ff_0.tar.bz2  5 years and 7 months ago 930 main cf202003
conda 770.9 kB | linux-64/r-dtw-1.21_3-r36h516909a_0.tar.bz2  5 years and 7 months ago 3927 main cf202003
conda 769.2 kB | linux-64/r-dtw-1.21_3-r35h516909a_0.tar.bz2  5 years and 7 months ago 5079 main cf202003

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