Package: eNchange 1.0
eNchange: Ensemble Methods for Multiple Change-Point Detection
Implements a segmentation algorithm for multiple change-point detection in univariate time series using the Ensemble Binary Segmentation of Korkas (2020) <arxiv:2003.03649>.
Authors:
eNchange_1.0.tar.gz
eNchange_1.0.zip(r-4.5)eNchange_1.0.zip(r-4.4)eNchange_1.0.zip(r-4.3)
eNchange_1.0.tgz(r-4.4-x86_64)eNchange_1.0.tgz(r-4.4-arm64)eNchange_1.0.tgz(r-4.3-x86_64)eNchange_1.0.tgz(r-4.3-arm64)
eNchange_1.0.tar.gz(r-4.5-noble)eNchange_1.0.tar.gz(r-4.4-noble)
eNchange_1.0.tgz(r-4.4-emscripten)eNchange_1.0.tgz(r-4.3-emscripten)
eNchange.pdf |eNchange.html✨
eNchange/json (API)
# Install 'eNchange' in R: |
install.packages('eNchange', repos = c('https://kakoko1984.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 5 years agofrom:30bce943c6. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win-x86_64 | OK | Nov 07 2024 |
R-4.5-linux-x86_64 | OK | Nov 07 2024 |
R-4.4-win-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-aarch64 | OK | Nov 07 2024 |
R-4.3-win-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:BinSegboot_threshEnBinSegpc_acdsimpc_hawkessimZ_trans
Dependencies:ACDmclicodetoolscolorspacedoParalleldplyrfansifarverforeachgenericsggplot2gluegtablehawkesisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppRcppArmadillorlangRsolnpscalestibbletidyselecttruncnormutf8vctrsviridisLitewithrzoo