Package: eirm
Type: Package
Title: Explanatory Item Response Modeling for Dichotomous and
        Polytomous Items
Version: 0.5
Authors@R: 
    person("Okan", "Bulut", email = "bulut@ualberta.ca", role = c("aut", "cre"),
    comment = c(ORCID="0000-0001-5853-1267"))
Maintainer: Okan Bulut <bulut@ualberta.ca>
URL: https://github.com/okanbulut/eirm
Description: 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. 
Depends: lme4, blme, reshape2, optimx
Imports: magrittr, shiny, shinydashboard, shinycssloaders, readxl,
        ggeffects, ggplot2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-10-25 03:49:51 UTC; Okan
Author: Okan Bulut [aut, cre] (<https://orcid.org/0000-0001-5853-1267>)
Repository: CRAN
Date/Publication: 2021-10-25 07:20:10 UTC
Built: R 4.6.0; ; 2026-04-25 20:11:59 UTC; unix
