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

Package details

AuthorGraham Mueller [aut, cre]
MaintainerPeter Landwehr <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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mmppr documentation built on May 29, 2017, 5:40 p.m.