Program Name: ChoiceModelR
MCMC Algorithm for Hierarchical Multinomial Logit (MNL) with Normal Heterogeneity

A program to analyze choice and share-of-choices data.  Predictor variables
may be naturally occuring or, preferably, based on an experimental design 
which optimally selects particular combinations of levels of predictor 
variables.  Model outputs may be used to predict future scenarios or to 
identify optimal solutions.

This program builds upon the excellent work of Peter Rossi, Ph.D., 
Anderson School, UCLA.  In particular it builds on the rhierMnlRwMixture
program of the R Language package, bayesm, authored by Peter Rossi.

Copyright (C) 2012 Decision Analyst, Inc.
                   604 Avenue H East
                   Arlington, Texas 76011 
                   www.decisionanalyst.com
                   817-640-6166

Mr. Ryan Sermas (rsermas@decisionanalyst.com) is the author. He was 
assisted by John V. Colias, Ph.D. (jcolias@decisionanalyst.com) and 
both may be reached at Decision Analyst (817-640-6166).

Decision Analyst is a strategic research and analytical consulting firm 
located in the Dallas-Fort Worth area, at 604 Avenue H East, 
Arlington, Texas 76011, www.decisionanalyst.com, 817-640-6166.

This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 3 of the License, or
(at your option) any later version. 

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, write to the Free Software Foundation, Inc.,
59 Temple Place, Suite 330, Boston, MA 02111-1307, or see 
http://www.gnu.org/licenses/.