model_goodness_for_algo_crm {airt}

Computes the goodness of IRT model for a given algorithm.

Description

This function computes the goodness of the IRT model for a given algorithm for different goodness tolerances.

Usage

model_goodness_for_algo_crm(mod, num = 1)

Arguments

mod

A fitted mirt model using the function irtmodel or R package mirt.

num

The algorithm number, for which the goodness of the IRT model is computed.

Value

A list with the following components:

xy

The x values denote the goodness tolerances. The y values denote the model goodness.

auc

The area under the model goodness curve.

residuals

The different between actual and fitted performance values.

Examples

set.seed(1)
x1 <- runif(100)
x2 <- runif(100)
x3 <- runif(100)
X <- cbind.data.frame(x1, x2, x3)
max_item <- rep(1,3)
min_item <- rep(0,3)
mod <- cirtmodel(X, max.item=max_item, min.item=min_item)
out <- model_goodness_for_algo_crm(mod$model, num=1)
out