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 chicagobooth.edu> |
| 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: amei_1.0-7.zip, r-release: amei_1.0-7.zip, r-oldrel: amei_1.0-7.zip |
| OS X Mavericks binaries: | r-release: amei_1.0-7.tgz, r-oldrel: amei_1.0-7.tgz |
| Old sources: | amei archive |
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