amei: Adaptive Management of Epidemiological Interventions

This package provides a flexible statistical framework for generating optimal epidemiological interventions that are designed to minimize the total expected cost of an emerging epidemic while simultaneously propagating uncertainty regarding underlying disease parameters through to the decision process via Bayesian posterior inference. The strategies produced through this framework are adaptive: vaccination schedules are iteratively adjusted to reflect the anticipated trajectory of the epidemic given the current population state and updated parameter estimates.

Version: 1.0-4
Published: 2010-07-30
Author: Daniel Merl, Leah R. Johnson, Robert B. Gramacy, and Marc S. Mangel
Maintainer: Robert B. Gramacy <bobby at statslab.cam.ac.uk>
License: GPL
Citation: amei citation info
CRAN checks: amei results

Downloads:

Package source: amei_1.0-4.tar.gz
MacOS X binary: amei_1.0-4.tgz
Windows binary: amei_1.0-4.zip
Reference manual: amei.pdf
Vignettes: amei R package tutorial
News/ChangeLog:ChangeLog
Old sources: amei archive