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-4.5)bursts_1.0-2.zip(r-4.4)bursts_1.0-2.zip(r-4.3)
bursts_1.0-2.tgz(r-4.4-any)bursts_1.0-2.tgz(r-4.3-any)
bursts_1.0-2.tar.gz(r-4.5-noble)bursts_1.0-2.tar.gz(r-4.4-noble)
bursts_1.0-2.tgz(r-4.4-emscripten)bursts_1.0-2.tgz(r-4.3-emscripten)
bursts.pdf |bursts.html
bursts/json (API)

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

Peer review:

On CRAN:

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 263 downloads 1 mentions 2 exports 0 dependencies

Last updated 2 years agofrom:71de4e0538. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winOKNov 17 2024
R-4.5-linuxOKNov 17 2024
R-4.4-winOKNov 17 2024
R-4.4-macOKNov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:kleinbergplot.bursts

Dependencies: