|Prof Darren Wilkinson||Professor of Stochastic Modelling|
|School of Mathematics, Statistics and Physics|
BAYES-LIN is intended for people who already know about Bayes linear methods, graphical modelling and local computation, and want a collection of object-oriented programming tools for carrying out computations. Local computation in BAYES-LIN is achieved via message-passing between objects representing clique-tree nodes. If you are relatively new to Bayes linear methods, then I would suggest trying out [B/D] before experimenting with this package.
BAYES-LIN is a set of modules for the XLISP-STAT statistical programming environment, and hence assumes some familiarity with that system, and the basic concepts of object-oriented programming. It also pre-supposes that you have a working LISP-STAT system already installed.
The code was developed under Linux, but should run on any platform with a fully functional LISP-STAT system, including MS Windows PCs, Macs, and any X-Windows UNIX machine.
BAYES-LIN is Copyrighted, but open-source, and free to all.
BAYES-LIN is NOT a friendly general purpose package for Bayesian inference! If you are seeking such a thing for free on the WWW, try BUGS (MCMC based). If you are interested in graphical belief modelling software generally, try consulting Russell Almond's list of Software for Manipulating Belief Networks.
Copyright 1997-2000 Darren Wilkinson