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
Depends: R (≥ 3.0.0)
Imports: Rcpp (≥ 0.12.3), stats
LinkingTo: Rcpp
Suggests: knitr
Published: 2019-11-06
Author: McDaid Kate [aut], Pein Florian [aut, cre]
Maintainer: Pein Florian <fp366 at cam.ac.uk>
License: GPL-3
NeedsCompilation: yes
CRAN checks: BinSegBstrap results

Downloads:

Reference manual: BinSegBstrap.pdf
Vignettes: R package BinSegBstrap
Package source: BinSegBstrap_1.0.tar.gz
Windows binaries: r-devel: BinSegBstrap_1.0.zip, r-devel-gcc8: BinSegBstrap_1.0.zip, r-release: BinSegBstrap_1.0.zip, r-oldrel: BinSegBstrap_1.0.zip
OS X binaries: r-release: BinSegBstrap_1.0.tgz, r-oldrel: BinSegBstrap_1.0.tgz

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