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.
Package details |
|
---|---|
Author | Theodore Lytras |
Maintainer | Theodore Lytras <thlytras@gmail.com> |
License | GPL (>=2) |
Version | 0.2.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.