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eirm  

Explanatory Item Response Modeling for Dichotomous and Polytomous Items
View on CRAN: Click here


Download and install eirm package within the R console
Install from CRAN:
install.packages("eirm")

Install from Github:
library("remotes")
install_github("cran/eirm")

Install by package version:
library("remotes")
install_version("eirm", "0.5")



Attach the package and use:
library("eirm")
Maintained by
Okan Bulut
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-27
Latest Update: 2021-10-25
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.
How to cite:
Okan Bulut (2020). eirm: Explanatory Item Response Modeling for Dichotomous and Polytomous Items. R package version 0.5, https://cran.r-project.org/web/packages/eirm. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.2.0 (2020-10-27 15:50), 0.3 (2021-02-23 17:30), 0.4 (2021-07-04 20:40)
Other packages that cited eirm R package
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Other R packages that eirm depends, imports, suggests or enhances
Complete documentation for eirm
Functions, R codes and Examples using the eirm R package
Some associated functions: VerbAggWide . eirm-package . eirm . eirmShiny . marginalplot . pipe . plot.eirm . polyreformat . print.eirm . testdata . 
Some associated R codes: data.R . eirm.R . eirmShiny.R . marginalplot.R . plot.eirm.R . polyreformat.R . print.eirm.R . utils-pipe.R .  Full eirm package functions and examples
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