The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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 |
| Reference manual: | bursts.pdf |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=bursts to link to this page.
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.
Health stats visible at Monitor.