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.
|Maintainer||Theodore Lytras <[email protected]>|
|Package repository||View on GitHub|
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