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irtQ  

Unidimensional Item Response Theory Modeling
View on CRAN: Click here


Download and install irtQ package within the R console
Install from CRAN:
install.packages("irtQ")

Install from Github:
library("remotes")
install_github("cran/irtQ")

Install by package version:
library("remotes")
install_version("irtQ", "0.2.1")



Attach the package and use:
library("irtQ")
Maintained by
Hwanggyu Lim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-10
Latest Update: 2023-07-06
Description:
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) ). The bring.bilog() and bring.parscale() functions were written by modifying the read.bilog() and read.parscale() functions, respectively (Weeks (2010) ). 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 (Gonz
How to cite:
Hwanggyu Lim (2023). irtQ: Unidimensional Item Response Theory Modeling. R package version 0.2.1, https://cran.r-project.org/web/packages/irtQ. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2023-01-10 19:50), 0.1.1 (2023-05-08 16:30), 0.2.0 (2023-07-06 14:20)
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Maintainer: Qi Qin (view profile)

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