MRwarping: Multiresolution time warping for functional data

The Bayesian procedure starts with one warplet in the model and uses the posterior distributions as priors for a more extended model with one more warplet. The model is built with adding one warplet at a time and allows for amplitude variations.

Version: 1.0
Depends: boa, SemiPar
Published: 2013-10-11
Author: L. Slaets, G. Claeskens, B.W. Silverman
Maintainer: Gerda Claeskens <Gerda.Claeskens at>
License: GPL-2
NeedsCompilation: yes
Citation: MRwarping citation info
CRAN checks: MRwarping results


Reference manual: MRwarping.pdf
Package source: MRwarping_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: MRwarping_1.0.tgz, r-oldrel: MRwarping_1.0.tgz
OS X Mavericks binaries: r-release: MRwarping_1.0.tgz