Explanatory Item Response Modeling for Dichotomous and Polytomous Items [R package eirm version 0.5]

Okan Bulut

eirm: Explanatory Item Response Modeling for Dichotomous and Polytomous Items

Analysis of dichotomous and polytomous response data using the explanatory item response modeling framework, as described in Bulut, Gorgun, & Yildirim-Erbasli (2021) <doi:10.3390/psych3030023>, Stanke & Bulut (2019) <doi:10.21449/ijate.515085>, and De Boeck & Wilson (2004) <doi:10.1007/978-1-4757-3990-9>. Generalized linear mixed modeling is used for estimating the effects of item-related and person-related variables on dichotomous and polytomous item responses.

Version: 0.5

Depends: lme4, blme, reshape2, optimx

Imports: magrittr, shiny, shinydashboard, shinycssloaders, readxl, ggeffects, ggplot2

Suggests: knitr, rmarkdown

Published: 2021年10月25日

DOI: 10.32614/CRAN.package.eirm

Author: Okan Bulut ORCID iD [aut, cre]

Maintainer: Okan Bulut <bulut at ualberta.ca>

License: GPL (≥ 3)

URL: https://github.com/okanbulut/eirm

NeedsCompilation: no

Citation: eirm citation info