Metadata-Version: 2.4
Name: pyssed
Version: 0.1.0
Summary: The Mixture Adaptive Design (MAD): An experimental design for anytime-valid causal inference on Multi-Armed Bandits.
Author-email: Daniel Molitor <molitdj97@gmail.com>
Requires-Python: >=3.10
Requires-Dist: numpy>=1.24.2
Requires-Dist: pandas>=2.0.0
Requires-Dist: plotnine>=0.12.0
Requires-Dist: tqdm>=4.50.0
Description-Content-Type: text/markdown

# pyssed

The goal of pyssed is to implement the Mixture Adaptive Design (MAD), as
proposed by [Liang and Bojinov](https://arxiv.org/abs/2311.05794).
MAD is an experimental design for multi-armed bandit algorithms that
enables anytime-valid inference on the Average Treatment Effect (ATE).