Package: IDetect 0.1.0
Andreas Anastasiou
IDetect: Isolate-Detect Methodology for Multiple Change-Point Detection
Provides efficient implementation of the Isolate-Detect methodology for the consistent estimation of the number and location of multiple change-points in one-dimensional data sequences from the "deterministic + noise" model. For details on the Isolate-Detect methodology, please see Anastasiou and Fryzlewicz (2018) <https://docs.wixstatic.com/ugd/24cdcc_6a0866c574654163b8255e272bc0001b.pdf>. Currently implemented scenarios are: piecewise-constant signal with Gaussian noise, piecewise-constant signal with heavy-tailed noise, continuous piecewise-linear signal with Gaussian noise, continuous piecewise-linear signal with heavy-tailed noise.
Authors:
IDetect_0.1.0.tar.gz
IDetect_0.1.0.tar.gz(r-4.5-noble)IDetect_0.1.0.tar.gz(r-4.4-noble)
IDetect_0.1.0.tgz(r-4.4-emscripten)IDetect_0.1.0.tgz(r-4.3-emscripten)
IDetect.pdf |IDetect.html✨
IDetect/json (API)
# Install 'IDetect' in R: |
install.packages('IDetect', 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 7 years agofrom:d0c271590d. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 10 2024 |
R-4.5-linux | OK | Dec 10 2024 |
Exports:cplm_iccplm_thest_signalht_ID_cplmht_ID_pcmIDID_cplmID_pcmnormalisepcm_icpcm_thresid_IDs_e_pointssol_path_cplmsol_path_pcmwin_cplm_thwin_pcm_th
Dependencies: