Package: hIRT 0.5.0

Xiang Zhou

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_0.5.0.tar.gz
hIRT_0.5.0.zip(r-4.7-x86_64)hIRT_0.5.0.zip(r-4.7-arm64)hIRT_0.5.0.zip(r-4.6-x86_64)hIRT_0.5.0.zip(r-4.6-arm64)
hIRT_0.5.0.tar.gz(r-4.7-arm64)hIRT_0.5.0.tar.gz(r-4.7-x86_64)hIRT_0.5.0.tar.gz(r-4.6-arm64)hIRT_0.5.0.tar.gz(r-4.6-x86_64)
hIRT_0.5.0.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://cran.r-universe.dev', 'https://cloud.r-project.org'))

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • nes_econ2008 - Public Attitudes on Economic Issues in ANES 2008

On CRAN:

Conda:

openblascpp

2.00 score 7 scripts 458 downloads 9 exports 83 dependencies

Last updated from:f3479eb362. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK137
linux-devel-x86_64OK175
source / vignettesOK239
linux-release-arm64OK140
linux-release-x86_64OK160
windows-devel-arm64OK270
windows-devel-x86_64OK230
windows-release-arm64OK266
windows-release-x86_64OK207
wasm-releaseOK114

Exports:coef_itemcoef_meancoef_varhgrmhgrm2hgrmDIFhltmhltm2latent_scores

Dependencies:admiscbackportsbase64encbslibcachemcheckmatecliclustercodetoolscolorspacecpp11data.tabledigestevaluateexpmfarverfastmapfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecycleltmmagrittrMASSMatrixMatrixModelsmemoisemimemsmmultcompmvtnormnlmennetpillarpkgconfigpolsplinepolycorquantregR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesSparseMstringistringrsurvivalTH.datatibbletinytexutf8vctrsviridisLitewithrxfunyamlzoo