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Parametric Time Warping
Jan Gerretzen <>, Paul Eilers <>, Hans Wouters, Tom Bloemberg <>, Ron Wehrens <> and The R Development Core Team
GPL (>= 2)
Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation).
Package Version Released
ptw 1.0-5 3 years 28 weeks ago
ptw 1.0-4 3 years 50 weeks ago
ptw 1.0-3 3 years 52 weeks ago
ptw 1.0-2 4 years 5 weeks ago
ptw 1.0-1 5 years 35 weeks ago
ptw 1.0-0 6 years 38 weeks ago
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