binsegRcpp: Efficient Implementation of Binary Segmentation

Standard template library containers are used to implement an efficient binary segmentation algorithm, which is log-linear on average and quadratic in the worst case.

Version:	2025.5.13
Imports:	data.table, Rcpp
LinkingTo:	Rcpp
Suggests:	covr, penaltyLearning, directlabels, ggplot2, testthat, knitr, markdown, neuroblastoma, changepoint, quadprog
Published:	2025-05-27
DOI:	10.32614/CRAN.package.binsegRcpp
Author:	Toby Dylan Hocking [aut, cre]
Maintainer:	Toby Dylan Hocking <toby.hocking at r-project.org>
BugReports:	https://github.com/tdhock/binsegRcpp/issues
License:	GPL-3
URL:	https://github.com/tdhock/binsegRcpp
NeedsCompilation:	yes
Materials:	NEWS
In views:	TimeSeries
CRAN checks:	binsegRcpp results

Documentation:

Reference manual:	binsegRcpp.html , binsegRcpp.pdf
Vignettes:	Comparisons with other packages (source, R code) Cross-validation (source, R code)

Downloads:

Package source:	binsegRcpp_2025.5.13.tar.gz
Windows binaries:	r-devel: binsegRcpp_2025.5.13.zip, r-release: binsegRcpp_2025.5.13.zip, r-oldrel: binsegRcpp_2025.5.13.zip
macOS binaries:	r-release (arm64): binsegRcpp_2025.5.13.tgz, r-oldrel (arm64): binsegRcpp_2025.5.13.tgz, r-release (x86_64): binsegRcpp_2025.5.13.tgz, r-oldrel (x86_64): binsegRcpp_2025.5.13.tgz
Old sources:	binsegRcpp archive

Reverse dependencies:

Reverse suggests:

atime

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