Software that implements

           FLEXIBLE BAYESIAN MODELS BASED ON NEURAL NETWORKS, 

       GAUSSIAN PROCESSES, MIXTURES, DIRICHLET DIFFUSION TREES, AND
 
                OTHER STATISTICAL AND PHYSICAL MODELS

                         and that demonstrates

                   MARKOV CHAIN MONTE CARLO METHODS

              Copyright (c) 1995-2020 by Radford M. Neal 

                         Version of 2020-01-24

Permission is granted for anyone to copy, use, modify, or distribute
these programs and accompanying documents for any purpose, provided
this copyright notice is retained and prominently displayed, along
with a note saying that the original programs are available from
Radford Neal's web page, and note is made of any changes made to these
programs.  These programs and documents are distributed without any
warranty, express or implied.  As the programs were written for
research purposes only, they have not been tested to the degree that
would be advisable in any important application.  All use of these
programs is entirely at the user's own risk.

----------------------------------------------------------------------

If you have comments, bug reports, or questions, you may contact me at
radfordneal@gmail.com, or use the 'issues' facility of the source code
repository for this software, at 

              https://gitlab.com/radfordneal/fbm

Information on this and related work may from time to time be
available via my home page at the following URL:

              http://www.cs.utoronto.ca/~radford/