FedIRT: Federated Item Response Theory Models (original) (raw)
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.
| Version: | 1.1.0 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | purrr, pracma, shiny, httr, callr, DT, ggplot2, shinyjs |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-09-28 |
| DOI: | 10.32614/CRAN.package.FedIRT |
| Author: | Biying Zhou [cre], Feng Ji [aut] |
| Maintainer: | Biying Zhou <zby.zhou at mail.utoronto.ca> |
| License: | MIT + file |
| NeedsCompilation: | no |
| CRAN checks: | FedIRT results |
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