PersonParameters.jl implements estimation of person parameters for Item Response Theory models. Item parameters used in the estimation of person parameters are treated as fixed and known.
It is tightly integrated with ItemResponseFunctions.jl allowing the estimation for all models defined in the package. Currently these are:
- Models for dichotomous responses
- 1 Parameter Logistic Model
- 2 Parameter Logistic Model
- 3 Parameter Logistic Model
- 4 Parameter Logistic Model
- 5 Parameter Logistic Model
- Models for polytomous responses
- Partial Credit Model
- Generalized Partial Credit Model
- Rating Scale Model
- Generalized Rating Scale Model
Available estimation methods are:
- Maximum Likelihood (MLE)
- Weighted Maximum Likelihood (WLE)
- Maximum A Posteriori (MAP)
- Expected A Posteriori (EAP)
For more details see the documentation