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eirm (version 0.5)

Explanatory Item Response Modeling for Dichotomous and Polytomous Items

Description

Analysis of dichotomous and polytomous response data using the explanatory item response modeling framework, as described in Bulut, Gorgun, & Yildirim-Erbasli (2021) , 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.

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Version

Install

install.packages('eirm')

Monthly Downloads

219

Version

0.5

License

GPL (>= 3)

Issues

0

Pull Requests

0

Stars

8

Forks

4

Maintainer

Okan Bulut

Last Published

October 25th, 2021

Functions in eirm (0.5)

eirmShiny

Graphical user interface (GUI) of the eirm function
VerbAggWide

Verbal Aggression Data in a Wide Format
print.eirm

Printing Estimated Parameters for Explanatory IRT Models
eirm

Estimating explanatory item response modeling using the GLMM framework
plot.eirm

Person-Item Map for Explanatory IRT Models
polyreformat

Reformat polytomous item responses in a long format for explanatory item response modeling
marginalplot

Plots of Estimated Marginal Effects in Explanatory IRT Models
%>%

Pipe operator
testdata

Fabricated Short Quiz with Explanatory Variables
eirm-package

Profile Analysis of Multivariate Data in R