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rbmpy

Python tools for the Reduced Bayesian Model (RBM), including simulation, parameter estimation, regression, and task modeling.

Installation

Install the package from PyPI with:

pip install rbmpy

Documentation

See the package website for detailed documentation.

agent_rbm

Contains the AlAgent and AgentVars classes, providing a Python implementation of the RBM for simulation and parameter estimation.

circular_regression

Contains custom regression models (currently circular) that can be combined with the RBM.

task

Contains the ChangePointTask class for change-point task simulations. The agent and regression models can be applied to these task data.

Questions?

For questions, please get in touch with me: rasmus.bruckner@uni-hamburg.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.

Release files for rbmpy 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for rbmpy 0.0.3
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Table of built distributions (wheels) for rbmpy 0.0.3
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Total release size: 29.8 kB

Release files / rbmpy-0.0.3.tar.gz

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