Package: HDCD 1.1
Per August Jarval Moen
HDCD: High-Dimensional Changepoint Detection
Efficient implementations of the following multiple changepoint detection algorithms: Efficient Sparsity Adaptive Change-point estimator by Moen, Glad and Tveten (2023) <doi:10.48550/arXiv.2306.04702> , Informative Sparse Projection for Estimating Changepoints by Wang and Samworth (2017) <doi:10.1111/rssb.12243>, and the method of Pilliat et al (2023) <doi:10.1214/23-EJS2126>.
Authors:
HDCD_1.1.tar.gz
HDCD_1.1.tar.gz(r-4.5-noble)HDCD_1.1.tar.gz(r-4.4-noble)
HDCD_1.1.tgz(r-4.4-emscripten)HDCD_1.1.tgz(r-4.3-emscripten)
HDCD.pdf |HDCD.html✨
HDCD/json (API)
# Install 'HDCD' in R: |
install.packages('HDCD', repos = c('https://cran.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 6 months agofrom:b318c066b8. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-linux-x86_64 | OK | Nov 04 2024 |
Exports:ARICUSUMESACESAC_calibrateESAC_testESAC_test_calibratehausdorffInspectInspect_calibrateInspect_testInspect_test_calibratePilliatPilliat_calibratePilliat_testPilliat_test_calibraterescale_variancesingle_CUSUMsingle_ESACsingle_Inspectsingle_SBSsingle_SBS_calibrate