Type: Package
Package: FedIRT
Title: Federated Item Response Theory Models
Version: 0.1.0
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. For more details, see Biying Zhou, Feng Ji (2024) "'FedIRT': An R package and 'shiny' app for estimating federated item response theory models" <https://github.com/Feng-Ji-Lab/FedIRT/blob/main/paper/paper.pdf>.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: purrr, pracma, shiny, httr, callr, DT, ggplot2, shinyjs,
Encoding: UTF-8
RoxygenNote: 7.2.3
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
LazyData: true
NeedsCompilation: no
Packaged: 2024-04-10 16:50:56 UTC; zby15
Author: Biying Zhou [cre],
  Feng Ji [aut]
Maintainer: Biying Zhou <zby.zhou@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-04-10 20:00:12 UTC
Built: R 4.2.3; ; 2024-04-10 21:21:25 UTC; unix
