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L0cpt  

Change Point Detection with L0 Penalty
View on CRAN: Click here


Download and install L0cpt package within the R console
Install from CRAN:
install.packages("L0cpt")

Install from Github:
library("remotes")
install_github("cran/L0cpt")

Install by package version:
library("remotes")
install_version("L0cpt", "0.2.0")



Attach the package and use:
library("L0cpt")
Maintained by
Tianhao Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-23
Latest Update: 2026-03-23
Description:
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>.
How to cite:
Tianhao Wang (2026). L0cpt: Change Point Detection with L0 Penalty. R package version 0.2.0, https://cran.r-project.org/web/packages/L0cpt. Accessed 26 Aug. 2026.
Previous versions and publish date:
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Complete documentation for L0cpt
Functions, R codes and Examples using the L0cpt R package
Full L0cpt package functions and examples
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