giantoak/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)
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("giantoak/mmppr")
giantoak/mmppr documentation built on May 14, 2017, 10:51 a.m.