giantoak/mmppr: Markov Modulated Poisson Process for Unsupervised Event Detection in Time Series of Counts
Time-series of count data occur in many different contexts. A Markov-modulated Poisson process provides a framework for detecting anomalous events using an unsupervised learning approach.
Getting started
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Package details |
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| Author | Graham Mueller [aut, cre] |
| Maintainer | Peter Landwehr <peter.landwehr@giantoak.com> |
| License | GPL (>= 2) |
| Version | 0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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