thlytras/FluHMM: Hidden Markov Model for influenza sentinel surveillance

Functions to facilitate fitting of a Bayesian HMM (Hidden Markov Model) to influenza sentinel surveillance data, segment the surveillance period into five epidemic phases (pre-epidemic, epidemic growth, epidemic plateau, epidemic decline and post-epidemic phase) and determine the weekly posterior probability of each phase. Results can be summarized and graphically plotted.

Getting started

Package details

AuthorTheodore Lytras
MaintainerTheodore Lytras <[email protected]>
LicenseGPL (>=2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
thlytras/FluHMM documentation built on May 31, 2019, 10:44 a.m.