irtQ: Unidimensional Item Response Theory Modeling
Fit unidimensional item response theory (IRT) models to test
data, which includes both dichotomous and polytomous items, calibrate
pretest item parameters, 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: |
1.0.0 |
| Depends: |
R (≥ 4.3) |
| Imports: |
stats, statmod, utils, tibble, dplyr, purrr, tidyr, rlang, reshape2, janitor, ggplot2, gridExtra, parallel, Matrix, Rfast, mirt |
| Published: |
2025-07-17 |
| 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:
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