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eirm

Explanatory Item Response Modeling for Dichotomous and Polytomous Items

Installation

About

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.

Citation eirm citation info
github.com/okanbulut/eirm

Key Metrics

Version 0.5
Published 2021-10-25 913 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks eirm results

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Maintainer

Maintainer

Okan Bulut

bulut@ualberta.ca

Authors

Okan Bulut

aut / cre

Material

NEWS
Reference manual
Package source

Vignettes

Using eirm for estimating explanatory IRT models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

eirm archive

Depends

lme4
blme
reshape2
optimx

Imports

magrittr
shiny
shinydashboard
shinycssloaders
readxl
ggeffects
ggplot2

Suggests

knitr
rmarkdown