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
Browse package contents
Package details |
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| 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:
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