Package: ecp 3.1.6
ecp: Non-Parametric Multiple Change-Point Analysis of Multivariate Data
Implements various procedures for finding multiple change-points from Matteson D. et al (2013) <doi:10.1080/01621459.2013.849605>, Zhang W. et al (2017) <doi:10.1109/ICDMW.2017.44>, Arlot S. et al (2019). Two methods make use of dynamic programming and pruning, with no distributional assumptions other than the existence of certain absolute moments in one method. Hierarchical and exact search methods are included. All methods return the set of estimated change- points as well as other summary information.
Authors:
ecp_3.1.6.tar.gz
ecp_3.1.6.zip(r-4.5)ecp_3.1.6.zip(r-4.4)ecp_3.1.6.zip(r-4.3)
ecp_3.1.6.tgz(r-4.4-x86_64)ecp_3.1.6.tgz(r-4.4-arm64)ecp_3.1.6.tgz(r-4.3-x86_64)ecp_3.1.6.tgz(r-4.3-arm64)
ecp_3.1.6.tar.gz(r-4.5-noble)ecp_3.1.6.tar.gz(r-4.4-noble)
ecp_3.1.6.tgz(r-4.4-emscripten)ecp_3.1.6.tgz(r-4.3-emscripten)
ecp.pdf |ecp.html✨
ecp/json (API)
NEWS
| # Install 'ecp' in R: |
| install.packages('ecp', repos = c('https://zwenyu.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:9fdf70c0c7. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-win-x86_64 | OK | Oct 26 2024 |
| R-4.5-linux-x86_64 | OK | Oct 26 2024 |
| R-4.4-win-x86_64 | OK | Oct 26 2024 |
| R-4.4-mac-x86_64 | OK | Oct 26 2024 |
| R-4.4-mac-aarch64 | OK | Oct 26 2024 |
| R-4.3-win-x86_64 | OK | Oct 26 2024 |
| R-4.3-mac-x86_64 | OK | Oct 26 2024 |
| R-4.3-mac-aarch64 | OK | Oct 26 2024 |
Exports:e.aggloe.cp3oe.cp3o_deltae.divisivegetBetweengetWithinkcpaks.cp3oks.cp3o_delta
Dependencies:Rcpp
