eirm: 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) <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: 0.2.0
Depends: lme4, reshape2, optimx
Suggests: knitr, rmarkdown
Published: 2020-10-27
Author: Okan Bulut ORCID iD [aut, cre]
Maintainer: Okan Bulut <bulut at ualberta.ca>
License: GPL (≥ 3)
URL: https://github.com/okanbulut/eirm
NeedsCompilation: no
CRAN checks: eirm results

Downloads:

Reference manual: eirm.pdf
Vignettes: Using eirm
Package source: eirm_0.2.0.tar.gz
Windows binaries: r-devel: eirm_0.2.0.zip, r-release: eirm_0.2.0.zip, r-oldrel: eirm_0.2.0.zip
macOS binaries: r-release: eirm_0.2.0.tgz, r-oldrel: eirm_0.2.0.tgz

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