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:
hdbcp_1.0.0.tar.gz
hdbcp_1.0.0.zip(r-4.5)hdbcp_1.0.0.zip(r-4.4)hdbcp_1.0.0.zip(r-4.3)
hdbcp_1.0.0.tgz(r-4.4-x86_64)hdbcp_1.0.0.tgz(r-4.4-arm64)hdbcp_1.0.0.tgz(r-4.3-x86_64)hdbcp_1.0.0.tgz(r-4.3-arm64)
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://jaehoonkim98.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jaehoonkim98/hdbcp/issues
Last updated 3 days agofrom:f3df4e7cd3. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win-x86_64 | OK | Nov 20 2024 |
| R-4.5-linux-x86_64 | OK | Nov 20 2024 |
| R-4.4-win-x86_64 | OK | Nov 20 2024 |
| R-4.4-mac-x86_64 | OK | Nov 20 2024 |
| R-4.4-mac-aarch64 | OK | Nov 20 2024 |
| R-4.3-win-x86_64 | OK | Nov 20 2024 |
| R-4.3-mac-x86_64 | OK | Nov 20 2024 |
| R-4.3-mac-aarch64 | OK | Nov 20 2024 |
Exports:generate_cov_datasetsgenerate_mean_datasetsmajority_rule_mxPBFmvrnorm_cppmxPBF_combinedmxPBF_covmxPBF_mean
Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6RcppRcppArmadillorlangtibbletidyselectutf8vctrswithr
