mmppr: Markov Modulated Poisson Process for Unsupervised Event Detection in Time Series of Counts
Version 0.1

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]
Date of publication2016-01-11 09:44:41
MaintainerPeter Landwehr <[email protected]>
LicenseGPL (>= 2)
Version0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mmppr")

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mmppr documentation built on May 29, 2017, 5:40 p.m.