Explanatory Item Response Modeling for Dichotomous and Polytomous Items R package eirm version 0.5 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. Software Depends: lme4, blme, reshape2, optimx Imports: magrittr, shiny, shinydashboard, shinycssloaders, readxl, ggeffects, ggplot2 Suggests: knitr, rmarkdown Okan Bulut <bulut@ualberta.ca> Comprehensive R Archive Network (CRAN) Okan Bulut [aut, cre] (ORCID: <https://orcid.org/0000-0001-5853-1267>) GPL (>= 3) 2021-10-25 application/tgz https://CRAN.R-project.org/package=eirm doi:10.32614/CRAN.package.eirm