BinSegBstrap: Piecewise Smooth Regression by Bootstrapped Binary Segmentation

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>
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:, r-release:, r-oldrel:
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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