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

Version: 1.9-10
Imports: nloptr, graphics, grDevices, stats
Published: 2015-07-01
Author: Jan Gerretzen, Paul Eilers, Hans Wouters, Tom Bloemberg, Ron Wehrens
Maintainer: Ron Wehrens <ron.wehrens at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: ptw citation info
Materials: NEWS
In views: TimeSeries
CRAN checks: ptw results

Downloads:

Reference manual: ptw.pdf
Vignettes: StickPTW
Package source: ptw_1.9-10.tar.gz
Windows binaries: r-devel: ptw_1.9-10.zip, r-release: ptw_1.9-10.zip, r-oldrel: ptw_1.9-10.zip
OS X Snow Leopard binaries: r-release: ptw_1.9-10.tgz, r-oldrel: ptw_1.0-7.tgz
OS X Mavericks binaries: r-release: ptw_1.9-10.tgz
Old sources: ptw archive

Reverse dependencies:

Reverse imports: chipPCR
Reverse suggests: ChemometricsWithR