D3mirt: Descriptive 3D Multidimensional Item Response Theory Modelling

For identifying, estimating, and plotting descriptive multidimensional item response theory models, restricted to 3D and dichotomous or polytomous data that fit the two-parameter logistic model or the graded response model. The method is foremost explorative and centered around the plot function that exposes item characteristics and constructs, represented by vector arrows, located in a three-dimensional interactive latent space. The results can be useful for item-level analysis as well as test development.

Version: 2.0.4
Depends: R (≥ 3.6.0), rgl (≥ 1.3.1)
Imports: mirt
Suggests: knitr, rmarkdown, stats, testthat, R.rsp
Published: 2024-06-22
DOI: 10.32614/CRAN.package.D3mirt
Author: Erik Forsberg ORCID iD [aut, cre, cph]
Maintainer: Erik Forsberg <forsbergpsychometrics at gmail.com>
BugReports: https://github.com/ForsbergPyschometrics/D3mirt/issues
License: GPL (≥ 3)
URL: https://github.com/ForsbergPyschometrics/D3mirt
NeedsCompilation: no
Citation: D3mirt citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: D3mirt results


Reference manual: D3mirt.pdf
Vignettes: R packages: Static PDF and HTML vignettes


Package source: D3mirt_2.0.4.tar.gz
Windows binaries: r-devel: D3mirt_2.0.4.zip, r-release: D3mirt_2.0.4.zip, r-oldrel: D3mirt_2.0.4.zip
macOS binaries: r-release (arm64): D3mirt_2.0.4.tgz, r-oldrel (arm64): D3mirt_2.0.4.tgz, r-release (x86_64): D3mirt_2.0.4.tgz, r-oldrel (x86_64): D3mirt_2.0.4.tgz
Old sources: D3mirt archive


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