Tutorial

• Demo
  • Loading data
  • Fitting a hierarchical model
• Within-subject effects
• Fitting regression models
• Dealing with outliers
• Posterior Predictive Checks
  • Defining your own summary statistics
  • Using PPC for model comparison with the groupby argument
  • Summary statistics relating to outside variables
• Stimulus coding with HDDMRegression
  • Model Recovery Test for HDDMRegression
  • Creating simulated data for the experiment
  • Setting up the HDDM regression model
  • Comparing generative and recovered model parameters