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bursts  

Markov Model for Bursty Behavior in Streams
View on CRAN: Click here


Download and install bursts package within the R console
Install from CRAN:
install.packages("bursts")

Install from Github:
library("remotes")
install_github("cran/bursts")

Install by package version:
library("remotes")
install_version("bursts", "1.0-2")



Attach the package and use:
library("bursts")
Maintained by
Jeff Binder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-24
Latest Update: 2022-07-19
Description:
An implementation of Jon Kleinberg's burst detection algorithm (Kleinberg (2003) ). 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.
How to cite:
Jeff Binder (2012). bursts: Markov Model for Bursty Behavior in Streams. R package version 1.0-2, https://cran.r-project.org/web/packages/bursts. Accessed 10 Mar. 2026.
Previous versions and publish date:
1.0-1 (2014-02-22 06:11), 1.0 (2012-10-24 08:41)
Other packages that cited bursts R package
View bursts citation profile
Other R packages that bursts depends, imports, suggests or enhances
Complete documentation for bursts
Functions, R codes and Examples using the bursts R package
Some associated functions: bursts-package . kleinberg . plot.bursts . 
Some associated R codes: bursts.R .  Full bursts package functions and examples
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