irtQ: Unidimensional Item Response Theory Modeling

Fit unidimensional item response theory (IRT) models to a mixture of dichotomous and polytomous data, calibrate online item parameters (i.e., pretest and operational items), estimate examinees' abilities, and examine the IRT model-data fit on item-level in different ways as well as provide useful functions related to IRT analyses such as IRT model-data fit evaluation and differential item functioning analysis. The bring.flexmirt() and write.flexmirt() functions were written by modifying the read.flexmirt() function (Pritikin & Falk (2022) <doi:10.1177/0146621620929431>). The bring.bilog() and bring.parscale() functions were written by modifying the read.bilog() and read.parscale() functions, respectively (Weeks (2010) <doi:10.18637/jss.v035.i12>). The bisection() function was written by modifying the bisection() function (Howard (2017, ISBN:9780367657918)). The code of the inverse test characteristic curve scoring in the est_score() function was written by modifying the irt.eq.tse() function (González (2014) <doi:10.18637/jss.v059.i07>). In est_score() function, the code of weighted likelihood estimation method was written by referring to the Pi(), Ji(), and Ii() functions of the catR package (Magis & Barrada (2017) <doi:10.18637/jss.v076.c01>).

Version: 0.2.1
Depends: R (≥ 4.1)
Imports: stats, statmod, utils, tibble, dplyr, purrr, tidyr, rlang, reshape2, janitor, ggplot2, gridExtra, parallel, Matrix, Rfast, mirt
Published: 2024-08-25
DOI: 10.32614/CRAN.package.irtQ
Author: Hwanggyu Lim [aut, cre], Craig S. Wells [ctb], James Howard [ctb], Joshua Pritikin [ctb], Jonathan P Weeks [ctb], Jorge González [ctb], David Magis [ctb]
Maintainer: Hwanggyu Lim <hglim83 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: irtQ results

Documentation:

Reference manual: irtQ.pdf

Downloads:

Package source: irtQ_0.2.1.tar.gz
Windows binaries: r-devel: irtQ_0.2.1.zip, r-release: irtQ_0.2.1.zip, r-oldrel: irtQ_0.2.1.zip
macOS binaries: r-release (arm64): irtQ_0.2.1.tgz, r-oldrel (arm64): irtQ_0.2.1.tgz, r-release (x86_64): irtQ_0.2.1.tgz, r-oldrel (x86_64): irtQ_0.2.1.tgz
Old sources: irtQ archive

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