mmppr (0.1)

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Markov Modulated Poisson Process for Unsupervised Event Detection in Time Series of Counts.

http://cran.r-project.org/web/packages/mmppr

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.

Maintainer: Peter Landwehr
Author(s): Graham Mueller [aut, cre]

License: GPL (>= 2)

Uses: expm, reshape2

Released over 1 year ago.


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