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hdbcp  

Bayesian Change Point Detection for High-Dimensional Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hdbcp", "1.0.0")



Attach the package and use:
library("hdbcp")
Maintained by
JaeHoon Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-05
Latest Update: 2024-11-19
Description:
Functions implementing change point detection methods using the maximum pairwise Bayes factor approach. Additionally, the package includes tools for generating simulated datasets for comparing and evaluating change point detection techniques.
How to cite:
JaeHoon Kim (2024). hdbcp: Bayesian Change Point Detection for High-Dimensional Data. R package version 1.0.0, https://cran.r-project.org/web/packages/hdbcp. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 0.1.0 (2024-11-05 11:20)
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Complete documentation for hdbcp
Functions, R codes and Examples using the hdbcp R package
Full hdbcp package functions and examples
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