Causal Inference

Public classes for identification, interventional queries, and regression-based causal effect estimation.

Graphical Identification and Inference

CausalInference(model)	This is an inference class for performing Causal Inference over Bayesian Networks or Structural Equation Models.
Adjustment([variant])	Given a causal graph, finds the adjustment set.
Frontdoor([variant])	Given a causal graph, finds the set of variables satisfying frontdoor criterion.

Estimators

NaiveAdjustmentRegressor(causal_graph[, ...])	Naive adjustment regressor using causal graph roles for feature selection.
NaiveIVRegressor(causal_graph[, ...])	Implements Naive Instrumental Variable (IV) regressor (single exposure, multiple instruments).
DoubleMLRegressor(causal_graph[, ...])	Implements the Double Machine Learning Regressor[1] (DML2) with cross-fitting.