Package: hIRT 0.4.0

hIRT: Hierarchical Item Response Theory Models

Implementation of a class of hierarchical item response theory (IRT) models where both the mean and the variance of latent preferences (ability parameters) may depend on observed covariates. The current implementation includes both the two-parameter latent trait model for binary data and the graded response model for ordinal data. Both are fitted via the Expectation-Maximization (EM) algorithm. Asymptotic standard errors are derived from the observed information matrix. See Zhou (2019) <doi:10.1017/pan.2018.63> for details.

Authors:Xiang Zhou [aut, cre]

hIRT_0.4.0.tar.gz
hIRT_0.4.0.zip(r-4.7-any)hIRT_0.4.0.zip(r-4.6-any)hIRT_0.4.0.zip(r-4.5-any)
hIRT_0.4.0.tgz(r-4.6-any)hIRT_0.4.0.tgz(r-4.5-any)
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hIRT_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hIRT/json (API)

# Install 'hIRT' in R:
install.packages('hIRT', repos = c('https://xiangzhou09.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/xiangzhou09/hirt/issues

Datasets:
  • nes_econ2008 - Public Attitudes on Economic Issues in ANES 2008

On CRAN:

Conda:

4.11 score 13 stars 82 downloads 9 exports 81 dependencies

Last updated from:c61f49acde. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK239
source / vignettesOK266
linux-releaseOK186
macos-releaseOK194
macos-oldrelOK227
windows-develOK130
windows-releaseOK132
windows-oldrelOK134
wasm-releaseOK126

Exports:coef_itemcoef_meancoef_varhgrmhgrm2hgrmDIFhltmhltm2latent_scores

Dependencies:admiscbackportsbase64encbslibcachemcheckmatecliclustercodetoolscolorspacecpp11data.tabledigestevaluateexpmfarverfastmapfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecycleltmmagrittrMASSMatrixMatrixModelsmemoisemimemsmmultcompmvtnormnlmennetpillarpkgconfigpolsplinepolycorquantregR6rappdirsRColorBrewerrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesSparseMstringistringrsurvivalTH.datatibbletinytexutf8vctrsviridisLitewithrxfunyamlzoo