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https://github.com/juliapsychometrics/personparameters.jl

Estimation of person parameters for item response models in Julia
https://github.com/juliapsychometrics/personparameters.jl

item-response-theory julia person-parameter psychometrics

Last synced: 4 months ago
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Estimation of person parameters for item response models in Julia

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# PersonParameters.jl

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliapsychometrics.github.io/PersonParameters.jl/stable/)
[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://juliapsychometrics.github.io/PersonParameters.jl/dev/)
[![Build Status](https://github.com/juliapsychometrics/PersonParameters.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/juliapsychometrics/PersonParameters.jl/actions/workflows/CI.yml?query=branch%3Amain)
[![Coverage](https://codecov.io/gh/juliapsychometrics/PersonParameters.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/juliapsychometrics/PersonParameters.jl)

[PersonParameters.jl](https://github.com/juliapsychometrics/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](https://github.com/juliapsychometrics/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](https://juliapsychometrics.github.io/PersonParameters.jl/)