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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