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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 lancaster.ac.uk>
License: GPL-3
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: BinSegBstrap results

Documentation:

Reference manual: BinSegBstrap.pdf
Vignettes: R package BinSegBstrap

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BinSegBstrap to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.