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.

Getting started

Package details

AuthorGeorg Hahn [aut,cre]
MaintainerGeorg Hahn <ghahn@hsph.harvard.edu>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("fastOnlineCpt")

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fastOnlineCpt documentation built on July 9, 2021, 9:08 a.m.