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
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:

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