FedIRT (version 1.1.0)

fedirt_file: Federated IRT model

Description

This function combines all types of algorithm of federated IRT models. It inputs a dataframe and return the estimated IRT parameters.

Usage

fedirt_file(
  inputdata,
  model_name = "2PL",
  school_effect = FALSE,
  federated = "Avg",
  colname = "site"
)

Value

Corresponding model result as a list.

Arguments

inputdata

A dataframe.

model_name

The name of the model you want to use. Can be "1PL" "2PL" or "graded". "1PL" refers to Rasch Model, "2PL" refers to two-parameter logistic model, "graded" refers to graded model.

school_effect

A bool parameter, TRUE refers to considering the school effect as a fixed effect. Default is FALSE.

federated

The federated learning method. Default is "Avg", meaning using Federated Average. Can also be "Med", meaning Federated Median.

colname

Column name indicating the school.

Details

Input is a dataframe from each school with a column indicating the school name.

Examples

if (FALSE) {
data <- read.csv("dataset.csv", header = TRUE)
fedresult <- fedirt_file(data, model_name = "2PL")
}