reporting

Reporting utilities for causal inference experiments.

This module provides statistical summaries and prose reports for causal effects. The reporting functions automatically compute appropriate statistics based on the model type (Bayesian/PyMC or Frequentist/OLS).

For detailed explanations of the reported statistics (HDI, ROPE, p-values, etc.) and their interpretation, see the documentation: https://causalpy.readthedocs.io/en/latest/knowledgebase/reporting_statistics.html

Classes

EffectSummary

Container for effect summary statistics and prose report.