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: 1.0-7
Published: 2013-12-13
Author: Daniel Merl, Leah R. Johnson, Robert B. Gramacy, and Marc S. Mangel
Maintainer: Robert B. Gramacy <rbgramacy at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Citation: amei citation info
Materials: ChangeLog
CRAN checks: amei results


Reference manual: amei.pdf
Vignettes: amei R package tutorial
Package source: amei_1.0-7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: amei_1.0-7.tgz, r-oldrel: amei_1.0-7.tgz
Old sources: amei archive


Please use the canonical form to link to this page.