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.
|Author||Graham Mueller [aut, cre]|
|Maintainer||Peter Landwehr <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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