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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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| Vydáno v: | Appl Psychol Meas |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
SAGE Publications
2020
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| Témata: | |
| On-line přístup: | 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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