|
BEAST: BAYESIAN ECOLOGICAL ANALYSIS OF STATISTICAL TRENDS |
||
![]() |
||
![]() |
Overview
This is the homepage for the BEAST software, developed by Eric Ward at the University of Washington (Seattle). BEAST is free software, designed to provide a flexible modelling tool for theoretical biologists to evaluate population models in a Bayesian framework. A variety of models are supported: single stage / age models, stage-structured population models, and age-structured population models. For the age- and stage- structured models, density dependence may be incorporated into any stage / age, and may assume one of several density-dependent functions. All models support variable change points (broken stick models), time lags, and error may be incorporated in the form of either observation error or process error. A wide range of symmetric and asymmetric likelihoods are supported, and any one of the ~ 25 prior distributions may be placed on any parameter in the model. BEAST also allows the user to do MCMC parameter estimation, population projections, and to conduct formal Bayesian decision analyses. All models are currently limited to single-species models (future versions may contain multi-species models). A further limitation of BEAST is that the only data currently supported are abundance estimates (which may contain error) and optional additional mortality / harvest data (which does not contain error).
Get the Software
Download the most recent version (2.0.1) here: Download the previous version, 1.1.3 here: Download BEAST 1.1.3.zip and the 1.1.3 instruction manual (different from the insructions below). Installation Instructions
1) Nothing needs to be installed if you're just wanting to run the executable file on a PC. If you want to run the Beast.jar file, or run the program on another platform, you need to download Sun's JDK.
For Developers
If you're interested in contributing to the project, or learning more about Java, visit the BEAST Developer's Page.
FAQ
1) Is there a citation?
Yes. A full description of the software, including an example with the theta-logistic model is available in the October 2006 issue of Wildlife Society Bulletin. Please cite as follows:. Ward, E.J. 2006. A new BEAST: Bayesian software tools for ecological trend analysis. Wildlife Society Bulletin, xx:xx-xxx. 2) What language is BEAST written in? Contact Information / Troubleshooting
Please direct all comments, questions, or problems to
Eric Ward: ericward@beastsoftware.org.
Version History & Bug Fixes
Sept 3 2006: there is a small bug in the MCMC sampling of discrete distributions - this isn't critical, but will make sampling very inefficient. Will be fixed soon. v. 2.0.1 released, allowing model histories to be saved as text files (August 3 2006) v. 2.0.0 released as a 100% pure Java program (June 12 2006) v. 1.0.5 released, fixing a bug in the quadratic allee population model Acknowledgements
Funding for this software was provided by the National Marine Fisheries Service, Washington State Sea Grant, and additional support from the University of Washington . Additional support provided by the School of Aquatic and Fishery Sciences at the University of Washington (Ray Hilborn's lab) and the Alaska Fisheries Science Center. A big thanks also to Mike Gilpin for introducing me to programming and Java while I was an undergraduate at UCSD.
|
|
|
Send mail to:
Eric Ward
Last modified: 3/17/2006 1:51 PM |
||