Model selection

Supported Models

The package supports the following causal estimators:

• Meta Learners:

  • S-Learner

  • T-Learner

  • X-Learner

  • Domain Adaptation Learner

• DR Learners:

  • Forest DR Learner

  • Linear DR Learner

  • Sparse Linear DR Learner

• DML Learners:

  • Linear DML

  • Sparse Linear DML

  • Causal Forest DML

• Ortho Forests:

  • DR Ortho Forest

  • DML Ortho Forest

• Transformed Outcome

Supported Metrics

We support a variety of different metrics that quantify the performance of a causal model:

• Energy distance

• ERUPT (Expected Response Under Proposed Treatments)

• Qini coefficient and AUC (area under curve)

• ATE (average treatment effect)