IRTest: Parameter Estimation of Item Response Theory with Estimation of Latent Distribution

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 (Li, 2022 <http://www.riss.kr/link?id=T16374105>). 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:	1.11.0
Depends:	R (≥ 2.10)
Imports:	betafunctions, dcurver, ggplot2
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), V8, gridExtra
Published:	2023-09-19
Author:	Seewoo Li [aut, cre, cph]
Maintainer:	Seewoo Li <cu at yonsei.ac.kr>
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

Documentation:

Reference manual:	IRTest.pdf
Vignettes:	IRT without the normality assumption

Downloads:

Package source:	IRTest_1.11.0.tar.gz
Windows binaries:	r-devel: IRTest_1.11.0.zip, r-release: IRTest_1.11.0.zip, r-oldrel: IRTest_1.11.0.zip
macOS binaries:	r-release (arm64): IRTest_1.7.0.tgz, r-oldrel (arm64): IRTest_1.7.0.tgz, r-release (x86_64): IRTest_1.7.0.tgz, r-oldrel (x86_64): IRTest_1.11.0.tgz
Old sources:	IRTest archive

Linking:

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