MMPP
R-implementation of a Markov-Modulated Poisson Process for unsupervised event detection.
Install / Use
/learn @giantoak/MMPPREADME
<h3>Description</h3>
This is an R-implementation of Markov Modulated Poisson Process for unsupervised event detection in time series of counts data. For a detailed description of the algorithm and user guide go <a href="http://giantoak.github.io/MMPP_Tutorial">here</a>.
There is also a Julia version available <a href="http://github.com/giantoak/mmpp_julia">here</a>
<h3>Requirements</h3> This requires the base installation of R and the following library: <ul> <li>expm </ul> <h3>Installation</h3> If R is installed, there are two options:From the commmand line run: git clone https //github.com/giantoak/MMPP
Alternatively, you can download the file MMPP.R directly from this webpage.
The source code is now available to be run via R.
<h3>User guide</h3> Please see the associated tutorial <a href="http://giantoak.github.io/MMPP_Tutorial">here</a>.