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 LICENSE NeedsCompilation: no CRAN checks: FedIRT results Documentation: Reference manual: FedIRT.pdf Downloads: Package source: FedIRT_1.1.0.tar.gz Windows binaries: r-devel: FedIRT_1.1.0.zip, r-release: FedIRT_1.1.0.zip, r-oldrel: FedIRT_1.1.0.zip macOS binaries: r-release (arm64): FedIRT_1.1.0.tgz, r-oldrel (arm64): FedIRT_1.1.0.tgz, r-release (x86_64): FedIRT_1.1.0.tgz, r-oldrel (x86_64): FedIRT_1.1.0.tgz Old sources: FedIRT archive Linking:Please use the canonical form https://CRAN.R-project.org/package=FedIRT to link to this page.
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