User Guide

This guide will help you get started with Causal Inference and CausalKit and understand its core concepts.

• Introduction to Causal Inference
  • Why causality?
  • The core idea
  • Notation
  • What we aim to estimate (estimands)
  • When are these estimands credible?
• Installation
  • Prerequisites
  • Install from GitHub (recommended)
  • Optional: editable install (for contributors)
  • Optional: conda environment after cloning the repo
• CausalData at a glance
  • Quick start
  • API essentials
  • Validation (on construction)
  • Common snippets
  • Tips
• Exploratory Data Analysis (EDA)
• Inference
  • A very short ATE example
• Refutation and robustness