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: 2024-09-28 18:39:32 UTC; zby15
Author: Biying Zhou [cre],
  Feng Ji [aut]
Maintainer: Biying Zhou <zby.zhou@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-09-28 19:10:02 UTC
Built: R 4.6.0; ; 2026-04-29 17:26:44 UTC; unix
