  BAYES-LIN is an extension of the LISP-STAT object-oriented statistical
computing environment, which adds to LISP-STAT some object prototypes
appropriate for carrying out local computation via message-passing between
clique-tree nodes of Bayes linear belief networks. Currently the BAYES-LIN
system represents a rather low-level set of tools for a back-end computational
engine, together with diagnostic graphics for understanding the effects of
adjustments on the moral graph. A GUI front end, allowing interactive
formulation of DAG models could be easily added, but is currently missing from
the system. This document provides a very brief introduction to the system, by
means of a work-through of two example computations, followed by a list of
variables, functions, objects and methods provided by the system.
