Federated Item Response Theory Models
Overview
Integrate Item Response Theory (IRT) and Federated Learning to estimate traditional IRT models, including the 2-Parameter Logistic (2PL) and the Graded Response Models, with enhanced privacy. It allows for the estimation in a distributed manner without compromising accuracy. A user-friendly 'shiny' application is included.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 21
- Examples that run
- 82%9 run in a plain check · 2 never run
- Exported functions with examples
- 38%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 5%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.1.0Latest2024-09-28 · current release · diff ↗ ·
removed 4 exports
fedirt_2PL_data, fedirt_2PL_median_data, fedirt_gpcm_data, memoizeadded 6 exports
SE, fedirt, fedirt_file, mem, personfit, personscore - RR 4.4.0 released · 2024-04-24
- 0.1.02024-04-10
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-04-10
- Total releases
- 2 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 13 KB / 10 files
- Download size
- 43 KB
Cite
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citation("FedIRT")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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