Contributing
============
The Open Bayesian Trees (OpenBT) project evolved from an initial C + MPI codebase written from scratch in 2010 through two subsequent ground-up rewrites culminating in the current C++ codebase with R and Python wrappers. Matt Pratola (mpratola@iu.edu) has served as the primary author and architect for OpenBT. John Yannotty (jcyannotty@gmail.com) made significant contributions to the project including BART-based model mixing, the Random Path BART (RPBART) model and RPBART-based model mixing, integrating the Eigen library, and writing Python wrapper code.  Jared O'Neal (jared.oneal@northwestern.edu) led the move from Autotools to Meson and built out the various Github and Python integrations as part of folding OpenBT into BAND. Sarthak Mistry (sarmist@iu.edu) helped with documentation and testing in moving to the BAND repo. Akira Horiguchi (ahoriguchi@ucdavis.edu) made contributions with Sobol sensitivity indices and Shapley indices as well as Pareto front-based multiobjective optimization. Clark van Lieshout (clarkvan33@gmail.com) contributed Python wrapper code based on Zoltán Puha's (puha.zoli@gmail.com) wrapper class. Robert McCulloch (robert.mcculloch@asu.edu) made contributions in the early days with the random number generators and log gamma approximation.

The current repo, now housed within the wider BAND project, becomes the long-term home for OpenBT.

Contributions of source code, documentation, and fixes are welcome.  General
information about how this software is developed and maintained follows in this
developer guide.  Please feel free to reach out to

* mpratola@iu.edu
* jcyannotty@gmail.com

for more information.