Package: hdbcp 1.0.0

JaeHoon Kim

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.

Authors:JaeHoon Kim [aut, cre], KyoungJae Lee [aut, ths]

hdbcp_1.0.0.tar.gz
hdbcp_1.0.0.tar.gz(r-4.5-noble)hdbcp_1.0.0.tar.gz(r-4.4-noble)
hdbcp_1.0.0.tgz(r-4.4-emscripten)hdbcp_1.0.0.tgz(r-4.3-emscripten)
hdbcp.pdf |hdbcp.html✨
hdbcp/json (API)

# Install 'hdbcp' in R:
install.packages('hdbcp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jaehoonkim98/hdbcp/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

2.00 score 4 scripts 570 downloads 7 exports 18 dependencies

Last updated 4 months agofrom:11106cfd10. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 23 2025
R-4.5-linux-x86_64OKFeb 23 2025

Exports:generate_cov_datasetsgenerate_mean_datasetsmajority_rule_mxPBFmvrnorm_cppmxPBF_combinedmxPBF_covmxPBF_mean

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6RcppRcppArmadillorlangtibbletidyselectutf8vctrswithr