ptw: Parametric Time Warping

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).

Version: 1.0-7
Published: 2014-03-30
Author: Jan Gerretzen, Paul Eilers, Hans Wouters, Tom Bloemberg, Ron Wehrens and The R Development Core Team
Maintainer: Tom Bloemberg <t.bloemberg at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: Copyright for the file src/approx.c is detailed in inst/COPYRIGHT
NeedsCompilation: yes
Citation: ptw citation info
In views: TimeSeries
CRAN checks: ptw results


Reference manual: ptw.pdf
Package source: ptw_1.0-7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: ptw_1.0-7.tgz, r-oldrel: ptw_1.0-7.tgz
OS X Mavericks binaries: r-release: ptw_1.0-7.tgz
Old sources: ptw archive

Reverse dependencies:

Reverse imports: chipPCR
Reverse suggests: ChemometricsWithR