Package: mmppr
Version: 0.1
Date: 2016-01-06
Title: Markov Modulated Poisson Process for Unsupervised Event
Detection in Time Series of Counts
Author: Graham Mueller [aut, cre]
Maintainer: Peter Landwehr <peter.landwehr@giantoak.com>
Depends: R (>= 3.0.2), expm, reshape2, stats, methods
Description: 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.
License: GPL (>= 2)
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-01-11 09:44:41
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