Package: eNchange 1.1

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 (2022) <Journal of the Korean Statistical Society, 51(1), pp.65-86.>.

Authors:Karolos K. Korkas [aut, cre]

eNchange_1.1.tar.gz
eNchange_1.1.zip(r-4.7)eNchange_1.1.zip(r-4.6)eNchange_1.1.zip(r-4.5)
eNchange_1.1.tgz(r-4.6-x86_64)eNchange_1.1.tgz(r-4.6-arm64)eNchange_1.1.tgz(r-4.5-x86_64)eNchange_1.1.tgz(r-4.5-arm64)
eNchange_1.1.tar.gz(r-4.7-arm64)eNchange_1.1.tar.gz(r-4.7-x86_64)eNchange_1.1.tar.gz(r-4.6-arm64)eNchange_1.1.tar.gz(r-4.6-x86_64)
eNchange_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
eNchange/json (API)

# Install 'eNchange' in R:
install.packages('eNchange', repos = c('https://kakoko1984.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 1 stars 240 downloads 6 exports 51 dependencies

Last updated from:c16e47b895. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK133
linux-devel-x86_64OK143
source / vignettesOK213
linux-release-arm64OK150
linux-release-x86_64OK153
macos-release-arm64OK149
macos-release-x86_64OK271
macos-oldrel-arm64OK153
macos-oldrel-x86_64OK234
windows-develOK115
windows-releaseOK123
windows-oldrelOK122
wasm-releaseOK125

Exports:BinSegboot_threshEnBinSegpc_acdsimpc_hawkessimZ_trans

Dependencies:ACDmbackportsbroomclicodetoolscpp11digestdoParalleldplyrfarverforeachfuturefuture.applygenericsggplot2globalsgluegtablehawkesisobanditeratorslabelinglatticelifecyclelistenvmagrittrnumDerivparallellypillarpkgconfigplyrpurrrR6RColorBrewerRcppRcppArmadillorlangRsolnpS7scalesstringistringrtibbletidyrtidyselecttruncnormutf8vctrsviridisLitewithrzoo

Readme and manuals

Help Manual

Help pageTopics
Ensemble Methods for Multiple Change-Point DetectioneNchange-package eNchange
An S4 method to detect the change-points in an irregularly spaced time series using Binary Segmentation.BinSeg BinSeg,ANY-method BinSeg-class BinSeg-methods
A bootstrap method to calculate the threshold (stopping rule) in the BS or EBS segmentation.boot_thresh boot_thresh,ANY-method boot_thresh-class boot_thresh-methods
An S4 method to detect the change-points in an irregularly spaced time series using Ensemble Binary Segmentation.EnBinSeg EnBinSeg,ANY-method EnBinSeg-class EnBinSeg-methods
A method to simulate nonstationary ACD models.pc_acdsim pc_acdsim,ANY-method pc_acdsim-class pc_acdsim-methods
A method to simulate nonstationary Hawkes models.pc_hawkessim pc_hawkessim,ANY-method pc_hawkessim-class pc_hawkessim-methods
An S4 class for a nonstationary ACD model.simACD-class
An S4 class for a nonstationary ACD model.simHawkes-class
Transformation of an irregularly spaces time series.Z_trans Z_trans,ANY-method Z_trans-class Z_trans-methods