Package: D3mirt 2.0.5.9000

D3mirt: Descriptive 3D Multidimensional Item Response Theory Modeling

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 primarily exploratory and centered on the plot function, which exposes item characteristics and constructs, represented by vector arrows, within a three-dimensional interactive latent space. The results can be useful for item-level analysis as well as test development.

Authors:Erik Forsberg [aut, cre, cph]

D3mirt_2.0.5.9000.tar.gz
D3mirt_2.0.5.9000.zip(r-4.7)D3mirt_2.0.5.9000.zip(r-4.6)D3mirt_2.0.5.9000.zip(r-4.5)
D3mirt_2.0.5.9000.tgz(r-4.6-any)D3mirt_2.0.5.9000.tgz(r-4.5-any)
D3mirt_2.0.5.9000.tar.gz(r-4.7-any)D3mirt_2.0.5.9000.tar.gz(r-4.6-any)
D3mirt_2.0.5.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
D3mirt/json (API)
NEWS

# Install 'D3mirt' in R:
install.packages('D3mirt', repos = c('https://forsbergpsychometrics.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/forsbergpyschometrics/d3mirt/issues

Datasets:

On CRAN:

Conda:

4.00 score 2 stars 5 scripts 383 downloads 2 exports 93 dependencies

Last updated from:ec77bd967b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK204
source / vignettesOK246
linux-release-x86_64OK213
macos-release-arm64OK164
macos-oldrel-arm64OK195
windows-develOK120
windows-releaseOK148
windows-oldrelOK127
wasm-releaseOK158

Exports:D3mirtmodid

Dependencies:audiobase64encbeeprbriobslibcachemcallrclassclicliprclustercodetoolscrayondcurverDerivdescdiffobjdigestdplyre1071evaluatefastmapfontawesomefsfuturefuture.applygenericsglobalsglueGPArotationgridExtragtablehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclelistenvmagrittrMASSMatrixmemoisemgcvmimemiraimirtnanonextnlmeotelparallellypbapplypermutepillarpkgbuildpkgconfigpkgloadpraiseprocessxprogressrproxypsqs2R.methodsS3R.ooR.utilsR6rappdirsRcppRcppArmadilloRcppParallelrglrlangrmarkdownrprojrootsasssessioninfoSimDesignsplines2stringfishtestthattibbletidyselecttinytexutf8vctrsveganwaldowithrxfunyaml

Introduction to D3mirt

Rendered fromIntrotoD3mirt.pdf.asisusingR.rsp::asison Jun 12 2026.

Last update: 2026-06-05
Started: 2024-06-19