The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 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 ORCID iD [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:

Reference manual: eirm.pdf
Vignettes: Using eirm for estimating explanatory IRT models

Downloads:

Package source: eirm_0.5.tar.gz
Windows binaries: r-devel: eirm_0.5.zip, r-release: eirm_0.5.zip, r-oldrel: eirm_0.5.zip
macOS binaries: r-release (arm64): eirm_0.5.tgz, r-oldrel (arm64): eirm_0.5.tgz, r-release (x86_64): eirm_0.5.tgz, r-oldrel (x86_64): eirm_0.5.tgz
Old sources: eirm archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=eirm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.