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)hdbcp_1.0.0.zip(r-4.6)hdbcp_1.0.0.zip(r-4.5)
hdbcp_1.0.0.tgz(r-4.6-x86_64)hdbcp_1.0.0.tgz(r-4.6-arm64)hdbcp_1.0.0.tgz(r-4.5-x86_64)hdbcp_1.0.0.tgz(r-4.5-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✨
card.svg |card.png
hdbcp/json (API)

# Install 'hdbcp' in R:
install.packages('hdbcp', repos = c('https://jaehoonkim98.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

2.70 score 4 scripts 568 downloads 7 exports 17 dependencies

Last updated from:f3df4e7cd3. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK140
linux-devel-x86_64OK114
source / vignettesOK205
linux-release-arm64OK132
linux-release-x86_64OK110
macos-release-arm64OK136
macos-release-x86_64OK200
macos-oldrel-arm64OK171
macos-oldrel-x86_64OK390
windows-develOK154
windows-releaseOK131
windows-oldrelOK111
wasm-releaseOK106

Exports:generate_cov_datasetsgenerate_mean_datasetsmajority_rule_mxPBFmvrnorm_cppmxPBF_combinedmxPBF_covmxPBF_mean

Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6RcppRcppArmadillorlangtibbletidyselectutf8vctrswithr