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: 2021-10-25 DOI: 10.32614/CRAN.package.eirm Author: Okan Bulut [aut, cre] Maintainer: Okan Bulut <bulut at ualberta.ca> License: GPL (≥ 3) URL: https://github.com/okanbulut/eirm NeedsCompilation: no Citation: eirm citation info Materials: NEWS CRAN checks: eirm results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=eirm to link to this page.
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