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RBM Analyses Package

Data analysis with the reduced Bayesian model (RBM).

Documentation

See the package website for detailed documentation.

agent_rbm

The package contains a Python implementation of the RBM. The model can be used for simulations and for parameter estimation. Examples coming soon.

circular_regression

It also contains code for custom regression models (currently circular) that can be combined with the RBM. See "examples" folder for a minimal regression example.

Questions?

For questions, please get in touch with me: rasmusb@zedat.fu-berlin.de

Built With

Author

Acknowledgments

Matt Nassar and Hashim Satti

License

This project is licensed under the MIT License - see the LICENSE file for details.

Changelog

See the CHANGELOG for details on recent changes, updates, and releases.

About

A Python library for simulating, fitting, and analyzing the Reduced Bayesian Model (RBM) of adaptive learning, with clean APIs for inference, likelihood computation, and regression-based parameter analysis.

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