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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.

Version: 1.0-2
Imports: graphics
Published: 2022-07-19
DOI: 10.32614/CRAN.package.bursts
Author: Jeff Binder [aut, cre]
Maintainer: Jeff Binder <extruded at gmail.com>
License: MIT + file LICENSE
Copyright: (c) 2012 NYU School of Medicine; (c) 2012-22 Jeff Binder
NeedsCompilation: no
CRAN checks: bursts results

Documentation:

Reference manual: bursts.pdf

Downloads:

Package source: bursts_1.0-2.tar.gz
Windows binaries: r-devel: bursts_1.0-2.zip, r-release: bursts_1.0-2.zip, r-oldrel: bursts_1.0-2.zip
macOS binaries: r-release (arm64): bursts_1.0-2.tgz, r-oldrel (arm64): bursts_1.0-2.tgz, r-release (x86_64): bursts_1.0-2.tgz, r-oldrel (x86_64): bursts_1.0-2.tgz
Old sources: bursts archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.