Package: fastOnlineCpt 1.0

fastOnlineCpt: Online Multivariate Changepoint Detection

Implementation of a simple algorithm designed for online multivariate changepoint detection of a mean in sparse changepoint settings. The algorithm is based on a modified cusum statistic and guarantees control of the type I error on any false discoveries, while featuring O(1) time and O(1) memory updates per series as well as a proven detection delay.

Authors:Georg Hahn [aut,cre]

fastOnlineCpt_1.0.tar.gz
fastOnlineCpt_1.0.zip(r-4.7-any)fastOnlineCpt_1.0.zip(r-4.6-any)fastOnlineCpt_1.0.zip(r-4.5-any)
fastOnlineCpt_1.0.tgz(r-4.6-any)fastOnlineCpt_1.0.tgz(r-4.5-any)
fastOnlineCpt_1.0.tar.gz(r-4.7-any)fastOnlineCpt_1.0.tar.gz(r-4.6-any)
fastOnlineCpt_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
fastOnlineCpt/json (API)

# Install 'fastOnlineCpt' in R:
install.packages('fastOnlineCpt', repos = c('https://ghahn-hsph.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.00 score 1 scripts 261 downloads 5 exports 2 dependencies

Last updated from:a856a966e3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK91
source / vignettesOK148
linux-releaseOK82
macos-releaseOK84
macos-oldrelOK91
windows-develOK55
windows-releaseOK58
windows-oldrelOK59
wasm-releaseOK76

Exports:addDatacheckCptfastOnlineCptlastCptTestresetAlgorithm

Dependencies:rbibutilsRdpack