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.

Getting started

Package details

AuthorL. Slaets, G. Claeskens, B.W. Silverman
MaintainerGerda Claeskens <>
Package repositoryView on CRAN
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MRwarping documentation built on May 2, 2019, 2:13 a.m.