ptw: Parametric Time Warping
Version 1.9-12

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). Both warping of peak profiles and of peak lists are supported.

Getting started

Package details

AuthorJan Gerretzen <>, Paul Eilers <>, Hans Wouters, Tom Bloemberg <>, Ron Wehrens <>
Date of publication2017-03-06 11:28:52
MaintainerRon Wehrens <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ptw documentation built on May 29, 2017, 2:27 p.m.