LAN Extension

• Tutorial
  • Things to look out for:
  • Section 0: Colab Prep (Optional)
  • Section 1: Model Info / Simulation / Basic Plotting
  • Section 2: Single Subject (or collapsed) Data
  • Section 3: Hierarchical Models
  • Section 4: Parameter varies by Condition
  • Section 5: Regressors
  • Section 6: Stim Coding
  • Section 7: Model Recovery
  • Section 8: Real Data!
  • Section 9: Accessing the Neural Network Directly
• New Classes
  • Short example
• New Models
  • Metadata
  • Simulate
• Investigate Model Behavior
  • Metadata
  • Simulate
• New Visualization
  • Generate some Data
  • caterpillar plot
  • posterior predictive (standard)
  • posterior predictive (model cartoon)
  • posterior pair plot
  • NEW (v0.9.3): Plots for \(n>2\) choice models
• Use your Likelihood Function
  • Construct config dictionary
  • Load Network
  • Initialize HDDM Model
• Network Inspectors
  • Direct access to batch predictions
  • Plotting Utilities