Getting Started
User Guide
Examples
API reference
Contributing
Release notes
main
Releases
v0.7.1
v0.7
v0.6
v0.5.1
v0.5
v0.4
v0.2
v0.1.1-alpha
Branches
main
Foreword
Introduction to DoWhy
Modeling Causal Relations
Modeling cause-effect relationships with causal mechanisms
Diagnosing a Causal Model
Independence Tests
Refute causal structure
Quantifying Arrow Strength
Refuting Invertible Model (GCM only)
Learning Causal Structure from Data
Performing Causal Tasks
Estimating Causal Effects
Effect Estimation Using specific Effect Estimators (for ACE, mediation effect, …)
Estimating Average Causal Effects using GCM
Explaining Observed Effects and Root-Cause Analysis
Outlier Attribution
Attributing Distributional Changes
Quantifying Intrinsic Causal Influence
Unit Change Attribution
Feature Attribution
Asking and Answering What-If Questions
Interventions
Simulating the Impact of Interventions
Soft Interventions
Computing Counterfactuals
Miscellaneous Topics
Customizing Causal Mechanism Assignment
Estimating Confidence Intervals
Generate samples from a GCM
Citing this package
Outlier Attribution