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FedIRT  

Federated Item Response Theory Models
View on CRAN: Click here


Download and install FedIRT package within the R console
Install from CRAN:
install.packages("FedIRT")

Install from Github:
library("remotes")
install_github("cran/FedIRT")

Install by package version:
library("remotes")
install_version("FedIRT", "0.1.0")



Attach the package and use:
library("FedIRT")
Maintained by
Biying Zhou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-10
Latest Update: 2024-04-10
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>.
How to cite:
Biying Zhou (2024). FedIRT: Federated Item Response Theory Models. R package version 0.1.0, https://cran.r-project.org/web/packages/FedIRT
Previous versions and publish date:
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