pirtmodel {airt}

Fits a polytomous IRT model.

Description

This function fits a polytomous Item Response Theory (IRT) model using the R package mirt to the algorithm performance data.

Usage

pirtmodel(dat, ncycle = NULL, vpara = TRUE)

Arguments

dat

The performance data in a matrix or dataframe.

ncycle

The number of cycles for mirt. The default is 500.

vpara

It TRUE the verbose parameter for the mirt would be set to true.

Value

A list with the following components:

model

The IRT model using the R package mirt.

anomalous

A binary value for each algorithm. It is set to 1 if an algorithm is anomalous. Otherwise it is set to 0.

consistency

The consistency of each algorithm.

difficulty_limit

The difficulty limits for each algorithm. A higher threshold indicates that the algorithm can tackle harder problems.

References

R. Philip Chalmers (2012). mirt: A Multidimensional Item Response Theory Package for the R Environment. Journal of Statistical Software, 48(6), 1-29. doi:10.18637/jss.v048.i06

Examples

set.seed(1)
x1 <- sample(1:5, 100, replace = TRUE)
x2 <- sample(1:5, 100, replace = TRUE)
x3 <- sample(1:5, 100, replace = TRUE)
X <- cbind.data.frame(x1, x2, x3)
mod <- pirtmodel(X)