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.zip(r-4.7-x86_64)hdbcp_1.0.0.zip(r-4.7-arm64)hdbcp_1.0.0.zip(r-4.6-x86_64)hdbcp_1.0.0.zip(r-4.6-arm64)
hdbcp_1.0.0.tar.gz(r-4.7-arm64)hdbcp_1.0.0.tar.gz(r-4.7-x86_64)hdbcp_1.0.0.tar.gz(r-4.6-arm64)hdbcp_1.0.0.tar.gz(r-4.6-x86_64)
hdbcp_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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

1.70 score 295 downloads 7 exports 17 dependencies

Last updated from:11106cfd10. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK129
linux-devel-x86_64OK119
source / vignettesOK191
linux-release-arm64OK101
linux-release-x86_64OK116
windows-devel-arm64OK191
windows-devel-x86_64OK115
windows-release-arm64OK216
windows-release-x86_64OK123
wasm-releaseOK99

Exports:generate_cov_datasetsgenerate_mean_datasetsmajority_rule_mxPBFmvrnorm_cppmxPBF_combinedmxPBF_covmxPBF_mean

Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6RcppRcppArmadillorlangtibbletidyselectutf8vctrswithr