Metadata-Version: 2.1
Name: pyetbd
Version: 0.1.3
Summary: McDowell's (2004) ETBD implemented in Python
Author: Ryan Higginbotham
Author-email: ryanhigginbotham@ufl.edu
Description-Content-Type: text/markdown
Requires-Dist: numba==0.57.1
Requires-Dist: numpy==1.24.4
Requires-Dist: pandas==2.1.0
Requires-Dist: openpyxl==3.0.10

# pyetbd

This is an open-source Python package to implement McDowell's (2004) Evolutionary Theory of Behavior Dynamics.

The package is currently under development. This version has successfully replicated the results of McDowell et al. (2008). It is not recommended to run experiments for publication until the package has been validated by replicating more results from the literature.

Visit the [pyetbd](https://github.com/ryhigg/pyETBD/wiki) for more info!
# References

McDowell, J. J. (2004). A COMPUTATIONAL MODEL OF SELECTION BY CONSEQUENCES. Journal of the Experimental Analysis of Behavior, 81(3), 297-317. https://doi.org/10.1901/jeab.2004.81-297

McDowell, J. J, Caron, M. L., Kulubekova, S., & Berg, J. P. (2008). A computational theory of selection by consequences applied to concurrent schedules. Journal of the Experimental Analysis of Behavior, 90(3), 387-403. https://doi.org/10.1901/jeab.2008.90-387
