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 science.ru.nl> |
| 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 |
Downloads:
Reverse dependencies: