eirm
0.5Explanatory Item Response Modeling for Dichotomous and Polytomous Items
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 67%
- Documented parameters
- 81%
- Return-value docs
- 75%
- References docs
- 10%
Downloads
Repository
Stars over time
Forks over time
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/okanbulut/eirm on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2020-10-27
- Total releases
- 4 / 6 yrs
- License
- GPL (>= 3) OSI
- Bundled data
- 15 KB / 2 files
- Download size
- 37 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet