| cirtmodel {airt} | R Documentation |
Fits a continuous IRT model.
Description
This function fits a continuous Item Response Theory (IRT) model to the algorithm performance data. The function EstCRMitem in the R package EstCRM is updated to accommodate negative discrimination.
Usage
cirtmodel(df, max.item = NULL, min.item = NULL)
Arguments
df |
The performance data in a matrix or dataframe. |
max.item |
A vector with the maximum performance value for each algorithm. |
min.item |
A vector with the minimum performance value for each algorithm. |
Value
A list with the following components:
model |
The IRT model. |
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 limit of each algorithm. A higher difficulty limit indicates that the algorithm can tackle harder problems. |
References
Zopluoglu C (2022). EstCRM: Calibrating Parameters for the Samejima's Continuous IRT Model. R package version 1.6, https://CRAN.R-project.org/package=EstCRM.
Examples
set.seed(1)
x1 <- runif(100)
x2 <- runif(100)
x3 <- runif(100)
X <- cbind.data.frame(x1, x2, x3)
mod <- cirtmodel(X)