FAVA is a library for efficiently performing functional ANOVA decompositions in high dimensions, and is powered by JAX. FAVA is based primarily on https://arxiv.org/abs/2106.12408, and is currently under active development.
Install FAVA using pip: TODO
Install FAVA from source:
git clone https://github.com/agrawalraj/anova.git
cd anova
pip install -r requirements.txt
python setup.py install[ADD EXAMPLES HERE]
See https://anova.readthedocs.io/en/latest/ for more tutorials and documentation!
You may use the following bibtex for citing fava:
@manual{agrawal2023,
title={FAVA: fast functional ANOVA decompositons in Python},
author={Raj Agrawal and Tamara Broderick},
year={2023},
url={https://github.com/agrawalraj/anova},
}