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hdbcp: Bayesian Change Point Detection for High-Dimensional Data

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.

Version: 1.0.0
Imports: Rcpp, stats, dplyr
LinkingTo: Rcpp, RcppArmadillo
Published: 2024-11-19
DOI: 10.32614/CRAN.package.hdbcp
Author: JaeHoon Kim [aut, cre], KyoungJae Lee [aut, ths]
Maintainer: JaeHoon Kim <jhkimstat at gmail.com>
BugReports: https://github.com/JaeHoonKim98/hdbcp/issues
License: GPL-3
URL: https://github.com/JaeHoonKim98/hdbcp
NeedsCompilation: yes
Materials: README
CRAN checks: hdbcp results

Documentation:

Reference manual: hdbcp.pdf

Downloads:

Package source: hdbcp_1.0.0.tar.gz
Windows binaries: r-devel: hdbcp_1.0.0.zip, r-release: hdbcp_0.1.0.zip, r-oldrel: hdbcp_1.0.0.zip
macOS binaries: r-release (arm64): hdbcp_1.0.0.tgz, r-oldrel (arm64): hdbcp_1.0.0.tgz, r-release (x86_64): hdbcp_1.0.0.tgz, r-oldrel (x86_64): hdbcp_1.0.0.tgz
Old sources: hdbcp archive

Linking:

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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.