irtplay: Evaluation of Model-Data Fit in Item Response Theory (IRT) and Useful Functions Related to IRT

Examine the IRT model-data fit on item-level in different ways as well as provide useful functions related to unidimensional item response theory (IRT). In terms of assessing the IRT model-data fit, one of distinguished features of this package is that it gives not only well-known item fit statistics (e.g., chi-square (X2), likelihood ratio chi-square (G2), infit and oufit statistics (Ames & Penfield (2015) <doi:10.1111/emip.12067>)) but also graphical displays to look at residuals between between the observed data and model-based predictions (Hambleton, Swaminathan, & Rogers (1991, ISBN:9780803936478)). More evaluation methods will be included in the future updated version. In addition to the evaluation of IRT model-data fit, there are several useful functions such as estimating proficiency parameters, calibrating item parameters given the fixed effects (aka. ability values) (Baker & Kim (2004, ISBN:9780824758257)), computing asymptotic variance-covariance matrices of item parameter estimates (Li & Lissitz (2004) <doi:10.1111/j.1745-3984.2004.tb01109.x>), importing item and/or ability parameters from popular IRT software, generating simulated data, computing the conditional distribution of observed scores using the Lord-Wingersky recursion formula (Lord & Wingersky (1984) <doi:10.1207/s15324818ame1002_1>), computing item and test information functions, computing item and test characteristic curve functions, and plotting item and test characteristic curves and item and test information functions.

Version: 1.1.0
Depends: R (≥ 3.4)
Imports: stats, statmod, utils, reshape2, dplyr, tidyr, purrr, ggplot2, rlang, gridExtra, parallel, pbapply
Suggests: mirt
Published: 2019-09-18
Author: Hwanggyu Lim [aut, cre], Craig S. Wells [ctb]
Maintainer: Hwanggyu Lim <hglim83 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: irtplay results

Downloads:

Reference manual: irtplay.pdf
Package source: irtplay_1.1.0.tar.gz
Windows binaries: r-devel: irtplay_1.0.0.zip, r-release: irtplay_1.0.0.zip, r-oldrel: irtplay_1.0.0.zip
OS X binaries: r-release: irtplay_1.1.0.tgz, r-oldrel: irtplay_1.1.0.tgz
Old sources: irtplay archive

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