fChange: Change Point Analysis in Functional Data

Change point estimation and detection methods for functional data are implemented using dimension reduction via functional principal component analysis and a fully-functional (norm-based) method. Detecting and dating structural breaks for both dependent and independent functional samples is illustrated along with some basic functional data generating processes.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: fda, sde, stats, sandwich, reshape2, lattice
Suggests: knitr
Published: 2017-07-29
Author: Ozan Sonmez, Alexander Aue, Gregory Rice
Maintainer: Ozan Sonmez <osonmez at ucdavis.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: fChange results


Reference manual: fChange.pdf
Package source: fChange_0.1.0.tar.gz
Windows binaries: r-devel: fChange_0.1.0.zip, r-release: fChange_0.1.0.zip, r-oldrel: fChange_0.1.0.zip
OS X El Capitan binaries: r-release: fChange_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: fChange_0.1.0.tgz


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