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:
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