LICENSE

The Large-selection Interface for Sampling Algorithms (LISA), a Python 
interface for Markov chain and nested sampling algorithms.

This project was completed with the support of the NASA Fellowship Activity, 
grant 80NSSC20K0682, held by Principal Investigator Joseph Harrington in 
support of Michael Himes, the principal developer of LISA.  

Copyright (C) 2020 - 2021 University of Central Florida.
All rights reserved.

This is a test version only, and may not be redistributed to any third
party.  Please refer such requests to us.  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.

LISA is under a reproducible-research license.  Until LISA's first 
publication, we do not permit others to redistribute the code in either 
original or modified form, nor to publish work based in whole or in part on 
the output of this code.  By downloading, running, or modifying this code, 
you agree to these conditions.  We do encourage sharing any modifications 
with us and discussing them openly.
For more details, see 
https://planets.ucf.edu/resources/reproducible-research/software-license/

We welcome your feedback, but do not guarantee support.  Please send
feedback or inquiries to:
Michael Himes <mhimes@knights.ucf.edu>  
Joseph Harrington <jh@physics.ucf.edu>   

or alternatively,
Joseph Harrington and Michael Himes
UCF PSB 441
4111 Libra Drive
Orlando, FL 32816-2385
USA

Thank you for using LISA!