okanbulut/eirm: Explanatory Item Response Modeling for Dichotomous and Polytomous Items

This package provides a suite of data analysis and visualizations tools for the analysis of dichotomous and polytomous item responses. The generalized linear mixed modeling (GLMM) framework is used for examining the impact of item-related and person-related variables on responses. The items are repeated measures that are nested underpersons. The model details can be found at de Boeck and Wilson's (2004) Explanatory Item Response Models - A Generalized Linear and Nonlinear Approach <DOI: 10.1007/978-1-4757-3990-9>.

Getting started

Package details

AuthorOkan Bulut <[email protected]>
MaintainerOkan Bulut <[email protected]>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("okanbulut/eirm")
okanbulut/eirm documentation built on March 15, 2019, 11:32 p.m.