Tetrad Manualο
Welcome to the official documentation for Tetrad, the open-source platform for causal discovery, causal inference, simulation, and graph-based statistical reasoning developed at Carnegie Mellon University.
Tetrad provides:
A graphical user interface (GUI) for interactive causal modeling
A comprehensive Java library with search algorithms, scores, and independence tests
Python and R bindings (Py-Tetrad and RPy-Tetrad)
A flexible architecture for extending algorithms, adding custom tests, and integrating new workflows
This site is the Read the Docs version of the Tetrad manual, reorganized into small, navigable sections for ease of use.
- About
- Workflows
- Causal Analysis Workflows
- Data Exploration: Understanding Your Data Before Causal Discovery
- Algorithm Selection and Assumptions
- Manual Exploration: Try Searches Interactively
- Running Searches and Grid Search Tips
- Model Evaluation and Markov Checking
- Interpreting Results
- Example: Auto MPG Analysis with Grid Search
- Tetrad Interface
- Python and R Bindings
- Graphs and DataSets
- Search Algorithms
- Tests & Scores
- Parameters
- Contributors
- Papers and Books
- Change Log
π Need help?ο
The Tetrad GitHub repository hosts issue tracking, discussions, and development notes: