Metadata-Version: 2.2
Name: hbmep
Version: 0.6.1
Summary: Hierarchical Bayesian estimation of motor-evoked potential (MEP) size recruitment curves
Author-email: "Vishweshwar Tyagi, James R. McIntosh" <vt2353@columbia.edu>
Project-URL: Homepage, https://github.com/hbmep/hbmep
Project-URL: Bug Tracker, https://github.com/hbmep/hbmep/issues
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.24.2
Requires-Dist: pandas>=2.0.2
Requires-Dist: scikit-learn>=1.2.1
Requires-Dist: jax>=0.4.24
Requires-Dist: jaxlib>=0.4.24
Requires-Dist: numpyro>=0.13.2
Requires-Dist: arviz>=0.18.0
Requires-Dist: matplotlib>=3.7.0
Requires-Dist: seaborn>=0.12.2
Provides-Extra: dev
Requires-Dist: jupyter==1.0.0; extra == "dev"
Requires-Dist: pytest>=7.4.0; extra == "dev"
Requires-Dist: pytest-pycodestyle>=2.3.1; extra == "dev"
Requires-Dist: pytest-cov>=4.1.0; extra == "dev"
Requires-Dist: Sphinx==7.3.7; extra == "dev"
Requires-Dist: sphinx-autobuild==2024.04.16; extra == "dev"
Requires-Dist: sphinx-book-theme==1.1.3; extra == "dev"
Requires-Dist: sphinxcontrib.bibtex==2.6.2; extra == "dev"
Requires-Dist: sphinx-copybutton==0.5.2; extra == "dev"
Requires-Dist: myst_nb==1.1.0; extra == "dev"

# hbMEP

hbMEP is a Python library for hierarchical Bayesian estimation of motor-evoked potential (MEP) size recruitment curves.

[![Cite](https://img.shields.io/badge/stats.AP-arXiv:2407.08709-B31B1B.svg)](http://doi.org/10.48550/arXiv.2407.08709)
[![Docs](https://github.com/hbmep/hbmep/actions/workflows/documentation.yaml/badge.svg)](https://github.com/hbmep/hbmep/actions/workflows/documentation.yaml)
[![pages-build-deployment](https://github.com/hbmep/hbmep/actions/workflows/pages/pages-build-deployment/badge.svg)](https://github.com/hbmep/hbmep/actions/workflows/pages/pages-build-deployment)

## Documentation

Read the docs at [hbmep.github.io/hbmep/](https://hbmep.github.io/hbmep/)

## Citation

Please cite [Tyagi et al., 2024](https://arxiv.org/abs/2407.08709) if you find this code useful in your research. The BibTeX entry for the paper is:

```
@article{tyagi_hierarchical_2024,
    title = {Hierarchical {Bayesian} estimation of motor-evoked potential recruitment curves yields accurate and robust estimates},
    author = {Tyagi, Vishweshwar and Murray, Lynda M. and Asan, Ahmet S. and Mandigo, Christopher and Virk, Michael S. and Harel, Noam Y. and Carmel, Jason B. and McIntosh, James R.},
    journal={arXiv preprint arXiv:2407.08709},
    year = {2024},
    doi = {http://doi.org/10.48550/arXiv.2407.08709}
}
```

## License

hbMEP is free software made available under the MIT License. For details see
the LICENSE file.
