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
- Host: GitHub
- URL: https://github.com/juliapsychometrics/personparameters.jl
- Owner: JuliaPsychometrics
- License: mit
- Created: 2024-05-03T10:15:22.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-12-03T09:29:28.000Z (over 1 year ago)
- Last Synced: 2025-04-04T18:14:27.943Z (about 1 year ago)
- Topics: item-response-theory, julia, person-parameter, psychometrics
- Language: Julia
- Homepage: https://juliapsychometrics.github.io/PersonParameters.jl/
- Size: 2.88 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# PersonParameters.jl
[](https://juliapsychometrics.github.io/PersonParameters.jl/stable/)
[](https://juliapsychometrics.github.io/PersonParameters.jl/dev/)
[](https://github.com/juliapsychometrics/PersonParameters.jl/actions/workflows/CI.yml?query=branch%3Amain)
[](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/)