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 4 scripts 332 downloads 7 exports 18 dependencies

Last updated 26 days agofrom:11106cfd10. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linux-x86_64OKNov 25 2024

Exports:generate_cov_datasetsgenerate_mean_datasetsmajority_rule_mxPBFmvrnorm_cppmxPBF_combinedmxPBF_covmxPBF_mean

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6RcppRcppArmadillorlangtibbletidyselectutf8vctrswithr