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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: | 2.0.0 |
Depends: | R (≥ 2.10) |
Imports: | betafunctions, dcurver, ggplot2, usethis |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), V8, gridExtra |
Published: | 2024-03-22 |
DOI: | 10.32614/CRAN.package.IRTest |
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 |
Reference manual: | IRTest.pdf |
Vignettes: |
IRT without the normality assumption |
Package source: | IRTest_2.0.0.tar.gz |
Windows binaries: | r-devel: IRTest_2.0.0.zip, r-release: IRTest_2.0.0.zip, r-oldrel: IRTest_2.0.0.zip |
macOS binaries: | r-release (arm64): IRTest_2.0.0.tgz, r-oldrel (arm64): IRTest_2.0.0.tgz, r-release (x86_64): IRTest_2.0.0.tgz, r-oldrel (x86_64): IRTest_2.0.0.tgz |
Old sources: | IRTest archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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