Provides methods for piecewise smooth regression. A piecewise smooth signal is estimated by applying a bootstrapped test recursively (binary segmentation approach). Each bootstrapped test decides whether the underlying signal is smooth on the currently considered subsegment or contains at least one further change-point.
| Version: | 1.0-1 |
| Depends: | R (≥ 3.0.0) |
| Imports: | Rcpp (≥ 0.12.3), stats |
| LinkingTo: | Rcpp |
| Suggests: | knitr |
| Published: | 2022-01-27 |
| DOI: | 10.32614/CRAN.package.BinSegBstrap |
| Author: | McDaid Kate [aut], Pein Florian [aut, cre] |
| Maintainer: | Pein Florian <f.pein at lancaster.ac.uk> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| CRAN checks: | BinSegBstrap results |
| Reference manual: | BinSegBstrap.pdf |
| Vignettes: |
R package BinSegBstrap |
| Package source: | BinSegBstrap_1.0-1.tar.gz |
| Windows binaries: | r-devel: BinSegBstrap_1.0-1.zip, r-release: BinSegBstrap_1.0-1.zip, r-oldrel: BinSegBstrap_1.0-1.zip |
| macOS binaries: | r-release (arm64): BinSegBstrap_1.0-1.tgz, r-oldrel (arm64): BinSegBstrap_1.0-1.tgz, r-release (x86_64): BinSegBstrap_1.0-1.tgz, r-oldrel (x86_64): BinSegBstrap_1.0-1.tgz |
| Old sources: | BinSegBstrap archive |
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