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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: 2023.8.31
Imports: data.table, Rcpp
LinkingTo: Rcpp
Suggests: covr, penaltyLearning, directlabels, ggplot2, testthat, knitr, markdown, neuroblastoma, changepoint, quadprog
Published: 2023-09-06
DOI: 10.32614/CRAN.package.binsegRcpp
Author: Toby Dylan Hocking
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.pdf
Vignettes: Comparisons with other packages
Cross-validation

Downloads:

Package source: binsegRcpp_2023.8.31.tar.gz
Windows binaries: r-devel: binsegRcpp_2023.8.31.zip, r-release: binsegRcpp_2023.8.31.zip, r-oldrel: binsegRcpp_2023.8.31.zip
macOS binaries: r-release (arm64): binsegRcpp_2023.8.31.tgz, r-oldrel (arm64): binsegRcpp_2023.8.31.tgz, r-release (x86_64): binsegRcpp_2023.8.31.tgz, r-oldrel (x86_64): binsegRcpp_2023.8.31.tgz
Old sources: binsegRcpp archive

Reverse dependencies:

Reverse suggests: atime

Linking:

Please use the canonical form https://CRAN.R-project.org/package=binsegRcpp 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.
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