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'))

Peer review:

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

openblascppopenmp

2.00 score 530 downloads 7 exports 18 dependencies

Last updated 3 months agofrom:11106cfd10. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 24 2025
R-4.5-linux-x86_64OKJan 24 2025

Exports:generate_cov_datasetsgenerate_mean_datasetsmajority_rule_mxPBFmvrnorm_cppmxPBF_combinedmxPBF_covmxPBF_mean

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6RcppRcppArmadillorlangtibbletidyselectutf8vctrswithr