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)fastOnlineCpt_1.0.zip(r-4.6)fastOnlineCpt_1.0.zip(r-4.5)
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
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 8 scripts 195 downloads 5 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK163
linux-release-x86_64OK136
macos-release-arm64OK78
macos-oldrel-arm64OK72
windows-develOK61
windows-releaseOK65
windows-oldrelOK58
wasm-releaseOK92

Exports:addDatacheckCptfastOnlineCptlastCptTestresetAlgorithm

Dependencies:rbibutilsRdpack