Introduction | Data preparation | Type 1, type 2, and joint responses | Signed and unsigned binary numbers | Data aggregation | Model fitting | Manual model fitting | Extract model estimates | Parameter estimates | Posterior predictions | Posterior expectations | Mean confidence | Metacognitive bias | Pseudo Type 1 ROC | Type 2 ROC | References

Introduction | Model for type 1 decisions | Model for type 2 decisions | Joint model for type 1 and type 2 decisions | Fixing the type 1 threshold for type 2 responses | Model parameterization | References

Introduction | Standard model with data aggregation | Data preparation | Model fitting | Extracting model estimates | Other benefits

Introduction | Implementing a distribution function for use with hmetad | Data simulation | Model fitting | Model estimates | References

References