Tests & Scores

Causal discovery in Tetrad relies on conditional-independence tests (for constraint-based methods) and scores (for score-based or hybrid methods). Choosing the right test or score is essential to obtaining accurate and reliable graphs.

This section provides:

• A practical guide to choosing an appropriate test/score for your data type
  → Choosing Tests & Scores

• A catalog-style reference summarizing all available tests and scores in Tetrad
  → Tests & Scores Catalog

Use these pages together when selecting modeling assumptions for PC, FGES, BOSS, GFCI, and related algorithms.

• Choosing Tests & Scores
• Tests and Scores: By Type
• Tests and Scores — Alphabetical