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IRTBEMM: An R Package for Estimating IRT Models With Guessing or Slipping Parameters
A recently released R package IRTBEMM is presented in this article. This package puts together several new estimation algorithms (Bayesian EMM, Bayesian E3M, and their maximum likelihood versions) for the Item Response Theory (IRT) models with guessing and slipping parameters (e.g., 3PL, 4PL, 1PL-G,...
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| Publicado no: | Appl Psychol Meas |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7495790/ https://ncbi.nlm.nih.gov/pubmed/34565936 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0146621620932654 |
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