Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Daniel Merl <danmerl@gmail.com>, Leah R. Johnson <lrjohnson@uchicago.edu>, Robert B. Gramacy <rbgramacy@chicagobooth.edu>, and Marc S. Mangel <msmangel@ams.ucsc.edu> |
| Maintainer | Robert B. Gramacy <rbgramacy@chicagobooth.edu> |
| License | GPL |
| Version | 1.0-7 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the amei package in your browser
Any scripts or data that you put into this service are public.
