Package: BayesProject 1.0
BayesProject: Fast Projection Direction for Multivariate Changepoint Detection
Implementations in 'cpp' of the BayesProject algorithm (see G. Hahn, P. Fearnhead, I.A. Eckley (2020) <doi:10.1007/s11222-020-09966-2>) which implements a fast approach to compute a projection direction for multivariate changepoint detection, as well as the sum-cusum and max-cusum methods, and a wild binary segmentation wrapper for all algorithms.
Authors:
BayesProject_1.0.tar.gz
BayesProject_1.0.zip(r-4.5)BayesProject_1.0.zip(r-4.4)BayesProject_1.0.zip(r-4.3)
BayesProject_1.0.tgz(r-4.4-x86_64)BayesProject_1.0.tgz(r-4.4-arm64)BayesProject_1.0.tgz(r-4.3-x86_64)BayesProject_1.0.tgz(r-4.3-arm64)
BayesProject_1.0.tar.gz(r-4.5-noble)BayesProject_1.0.tar.gz(r-4.4-noble)
BayesProject_1.0.tgz(r-4.4-emscripten)BayesProject_1.0.tgz(r-4.3-emscripten)
BayesProject.pdf |BayesProject.html✨
BayesProject/json (API)
# Install 'BayesProject' in R: |
install.packages('BayesProject', repos = c('https://ghahn-hsph.r-universe.dev', 'https://cloud.r-project.org')) |
- testdata - Simulated test data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:f0b6b82a6f. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win-x86_64 | OK | Nov 02 2024 |
R-4.5-linux-x86_64 | OK | Nov 02 2024 |
R-4.4-win-x86_64 | OK | Nov 02 2024 |
R-4.4-mac-x86_64 | OK | Nov 02 2024 |
R-4.4-mac-aarch64 | OK | Nov 02 2024 |
R-4.3-win-x86_64 | OK | Nov 02 2024 |
R-4.3-mac-x86_64 | OK | Nov 02 2024 |
R-4.3-mac-aarch64 | OK | Nov 02 2024 |
Exports:bayessummaxcusumwildBinSeg