Detail Callouts

This section gives in-depth coverage of the Tetrad graphical user interface (GUI), describing the purpose and usage of each box in the left-hand sidebar. The boxes are documented in the same order that they appear in the interface.

• Data subset / resample
  • Inputs and outputs
  • Variable selection
  • Rows and sampling
  • Typical use cases
• Detail: Graph Menu (Graph Box)
  • Random Graph
  • Graph Properties
  • Underlinings
  • Paths
  • Highlight
  • Check Graph Type
  • Manipulate Graph
  • PAG Edge Specialization Markups
  • Summary
• Detail: Display Subgraphs
  • Purpose
  • Basic workflow
  • Subgraph types
  • Summary
• Detail: Markov Checker
  • Purpose
  • Basic workflow
  • Outputs
  • Interpreting results
• Detail: Bootstrapping and Ensemble Graphs
  • What Bootstrapping Does
  • Enabling Bootstrapping
  • Running a Bootstrapped Search
  • The Edges Tab: Bootstrap Frequencies
  • Ensemble Graph Display Options
  • How to Use Bootstrapping Effectively
  • Important Caveats
  • Summary
• Detail: Parametric & Instantiated Model Types
  • Model families
  • Interaction with Estimator and Simulation
• Detail: Simulation types
  • Bayes net
  • Linear structural equation model
  • Linear Fisher model
  • Nonlinear additive SEM (CAM)
  • General noise SEM
  • Additive noise SEM
  • Lee and Hastie
  • Conditional Gaussian
  • Time series
  • Choosing a simulator
• Detail: Bayes (Multinomial) Parametric Model
  • When to use Bayes models
  • Main panel layout
  • Typical workflow
  • Tips and caveats
• Detail: Bayes (Multinomial) Instantiated Model
  • How Bayes instantiated models are created
  • Instantiated Model box layout (Bayes)
  • Typical uses
  • Tips
• Detail: ML Bayes Estimator
  • Purpose
  • Inputs and requirements
  • How it works (conceptually)
  • Output
  • Tips and common issues
  • Related pages
• Detail: Dirichlet Estimator
  • Purpose
  • Inputs and requirements
  • How it works (conceptually)
  • Output
  • Tips and common issues
  • Related pages
• Detail: EM Bayes Estimator
  • Purpose
  • Inputs and requirements
  • How it works (conceptually)
  • Output
  • Tips and common issues
  • Related pages
• Detail: SEM (Linear) Parametric Model
  • When to use SEM models
  • Main panel layout
  • Typical workflow
  • Tips and caveats
• Detail: SEM (Linear) Instantiated Model
  • How SEM instantiated models are created
  • Instantiated Model box layout (SEM)
  • File menu options (SEM instantiated model)
• Detail: SEM (Linear) Estimator
  • Purpose
  • Inputs and requirements
  • How it works (conceptually)
  • Output
  • File menu options (SEM Estimator)
• Detail: Hybrid (Conditional Gaussian) Parametric Model
  • When to use Hybrid models
  • Main panel layout
  • Typical workflow
  • Tips and caveats
• Detail: Hybrid (Conditional Gaussian) Instantiated Model
  • How Hybrid instantiated models are created
  • Instantiated Model box layout (Hybrid)
  • Typical uses
  • Tips
• Detail: Hybrid CG Estimator
  • Purpose
  • Inputs and requirements
  • How it works (conceptually)
  • Output
  • Tips and common issues
  • Related pages
• Detail: Generalized Parametric Model
  • When to use Generalized models
  • Main panel layout
  • Typical workflow
  • Tips and caveats
• Detail: Generalized Instantiated Model
  • How Generalized instantiated models are created
  • Instantiated Model box layout (Generalized)
  • Typical uses
  • Tips
• Detail: Generalized SEM Estimator
  • Purpose
  • Inputs and requirements
  • How it works (conceptually)
  • Output
  • Tips and common issues
  • Related pages
• Detail: Junction Tree Updater
  • Purpose
  • Inputs and setup
  • How it works (conceptually)
  • Output
  • Tips
  • Related pages
• Detail: Approximate Updater
  • Purpose
  • Inputs and setup
  • How it works (conceptually)
  • Output
  • Tips
  • Related pages
• Detail: Row Summing Updater
  • Purpose
  • Inputs and setup
  • How it works (conceptually)
  • Output
  • Tips
  • Related pages
• Detail: SEM Updater
  • Purpose
  • Inputs and setup
  • How it works (conceptually)
  • Output
  • Tips
  • Related pages
• Detail: Adjustment and Total Effects: Amenability and Discrete Variables
  • What Is an Amenable Pair?
  • Amenability via Visible Edges
  • How Amenability Is Reported in the Tool
  • Discrete Variables and Regression Output
  • Amenability and Refining Equivalence Classes
  • Summary
• Detail: IDA Check (Regression box)
  • Layout and controls
  • Table columns
  • Summary statistics (bottom)
  • Typical usage
  • Notes and references
• Detail: N-tad Explorer
  • Basic workflow
  • Interpretation
  • Tips and notes
  • Using N-tad Explorer with SEMs