Reference
Foundational functions
Classes and functions that are crucial for both the MAD and MADMod classes
| MADBase | Base class that includes methods for both the pyssed.MAD and pyssed.MADMod classes. |
| bandit.Bandit | An abstract class for Bandit algorithms used in the MAD algorithm. |
| bandit.Reward | A simple class for reward functions. |
| model.Model | A model class to support a variety of different models. This should accept |
Covariate-adjusted MAD
MAD that supports covariate adjustment for improved ATE precision
| MAD | A class implementing the Mixture-Adaptive Design |
Power-balanced MAD
MAD that dynamically adjusts sample allocation to improve statistical power
| MADMod | This class implements Power-adjusted MAD (MADMod; Molitor and Gold, 2025). |