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.

AuthorL. Slaets, G. Claeskens, B.W. Silverman
Date of publication2013-10-11 12:54:06
MaintainerGerda Claeskens <Gerda.Claeskens@kuleuven.be>
LicenseGPL-2
Version1.0

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Files in this package

MRwarping
MRwarping/inst
MRwarping/inst/CITATION
MRwarping/src
MRwarping/src/interfaceRC_warp.c
MRwarping/NAMESPACE
MRwarping/data
MRwarping/data/TICdata.rda
MRwarping/R
MRwarping/R/MRwarp.R MRwarping/R/comp.R MRwarping/R/warp.R
MRwarping/MD5
MRwarping/DESCRIPTION
MRwarping/man
MRwarping/man/MRwarp-package.Rd MRwarping/man/MRwarp.Rd MRwarping/man/TICdata.Rd MRwarping/man/comp.Rd MRwarping/man/warp.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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