Package: bursts 1.0-2

bursts: Markov Model for Bursty Behavior in Streams

An implementation of Jon Kleinberg's burst detection algorithm (Kleinberg (2003) <doi:10.1023/A:1024940629314>). Uses an infinite Markov model to detect periods of increased activity in a series of discrete events with known times, and provides a simple visualization of the results.

Authors:Jeff Binder [aut, cre]

bursts_1.0-2.tar.gz
bursts_1.0-2.zip(r-4.7)bursts_1.0-2.zip(r-4.6)bursts_1.0-2.zip(r-4.5)
bursts_1.0-2.tgz(r-4.6-any)bursts_1.0-2.tgz(r-4.5-any)
bursts_1.0-2.tar.gz(r-4.7-any)bursts_1.0-2.tar.gz(r-4.6-any)
bursts_1.0-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
bursts/json (API)

# Install 'bursts' in R:
install.packages('bursts', repos = c('https://jeffbinder.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.

1.15 score 14 scripts 626 downloads 1 mentions 2 exports 0 dependencies

Last updated from:71de4e0538. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK86
source / vignettesOK135
linux-release-x86_64OK87
macos-release-arm64OK108
macos-oldrel-arm64OK112
windows-develOK67
windows-releaseOK56
windows-oldrelOK58
wasm-releaseOK89

Exports:kleinbergplot.bursts

Dependencies: