doi:10.1007/BF02293801>). Within parameter estimation algorithm, several methods for latent distribution estimation are available. Reflecting some features of the true latent distribution, these latent distribution estimation methods can possibly enhance the estimation accuracy and free the normality assumption on the latent distribution.">

IRTest: Parameter Estimation of Item Response Theory with Estimation of Latent Distribution (original) (raw)

Item response theory (IRT) parameter estimation using marginal maximum likelihood and expectation-maximization algorithm (Bock & Aitkin, 1981 <doi:10.1007/BF02293801>). Within parameter estimation algorithm, several methods for latent distribution estimation are available. Reflecting some features of the true latent distribution, these latent distribution estimation methods can possibly enhance the estimation accuracy and free the normality assumption on the latent distribution.

Version: 2.1.0
Depends: R (≥ 2.10)
Imports: betafunctions, dcurver, ggplot2, usethis
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), gridExtra
Published: 2024-10-04
DOI: 10.32614/CRAN.package.IRTest
Author: Seewoo Li [aut, cre, cph]
Maintainer: Seewoo Li
BugReports: https://github.com/SeewooLi/IRTest/issues
License: GPL (≥ 3)
URL: https://github.com/SeewooLi/IRTest
NeedsCompilation: no
Citation: IRTest citation info
Materials: README NEWS
CRAN checks: IRTest results

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