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 Stanke & Bulut (2019) and De Boeck & Wilson (2004) . Generalized linear mixed modeling is used for estimating the effects of item-related and person-related variables on dichotomous and polytomous item responses.


Reference manual

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0.4 by Okan Bulut, 4 months ago


Browse source code at https://github.com/cran/eirm

Authors: Okan Bulut [aut, cre]

Documentation:   PDF Manual  

GPL (>= 3) license

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

Depends on lme4, reshape2, optimx

Suggests knitr, rmarkdown

See at CRAN