Type: Package
Package: FedIRT
Title: Federated Item Response Theory Models
Version: 1.1.0
Authors@R: c(
    person("Biying", "Zhou", email = "zby.zhou@mail.utoronto.ca", role = "cre"),
    person("Feng", "Ji", email = "f.ji@utoronto.ca", role = "aut"))
Description: 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.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: purrr, pracma, shiny, httr, callr, DT, ggplot2, shinyjs,
Encoding: UTF-8
RoxygenNote: 7.3.1
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-23 08:13:42 UTC; root
Author: Biying Zhou [cre], Feng Ji [aut]
Maintainer: Biying Zhou <zby.zhou@mail.utoronto.ca>
Config/pak/sysreqs: cmake make libuv1-dev libssl-dev zlib1g-dev
Repository: https://biyingzhou.r-universe.dev
Date/Publication: 2024-09-29 03:04:22 UTC
RemoteUrl: https://github.com/cran/FedIRT
RemoteRef: HEAD
RemoteSha: 38abff33cc99a93c33d799d074aefe4474c4ed91