eirm: Explanatory Item Response Modeling for Dichotomous andPolytomous Items
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 |
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