DESCRIPTION

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