L0cpt: Change Point Detection with L0 Penalty

Under an L0 penalty framework, a computationally efficient implementation of change point detection is developed. By integrating active set algorithms with warm start initialization, the package achieves linear-time complexity for solving change point detection problems. References: Wen et al. (2020) <doi:10.18637/jss.v094.i04>; Zhu et al. (2020)<doi:10.1073/pnas.2014241117>.

Version:	0.2.0
Imports:	ggplot2, stats
Suggests:	knitr, rmarkdown
Published:	2026-03-23
DOI:	10.32614/CRAN.package.L0cpt (may not be active yet)
Author:	Tianhao Wang [aut, cre]
Maintainer:	Tianhao Wang <tianhaowang at mail.ustc.edu.cn>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	L0cpt results

Documentation:

Reference manual:

L0cpt.html , L0cpt.pdf

Downloads:

Package source:	L0cpt_0.2.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=L0cpt to link to this page.