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.

AuthorGraham Mueller [aut, cre]
Date of publication2016-01-11 09:44:41
MaintainerPeter Landwehr <>
LicenseGPL (>= 2)

View on CRAN

Questions? Problems? Suggestions? or email at

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.