MirtToEstimatedClassical: Estimate classical item statistics for data in a "mirt"...

In CambridgeAssessmentResearch/unimirt: Applications of Unidimensional IRT using the R Package 'mirt'

Estimate classical item statistics for data in a "mirt" object.

Description

This function estimates classical item statistics from the fitted IRT model estimated using "mirt". This is useful as it will produce these estimates even if different students have taken different items.

Usage

MirtToEstimatedClassical(mirtobj, theta = NULL, qwts = NULL)

Arguments

mirtobj	An estimated IRT model (of class SingleGroupClass) estimated either using mirt or unimirt.
theta	A matrix giving the ability values used in estimation. By default this is extracted directly from mirtobj.
qwts	A vector giving the weight to assign to each ability in thetas. By default this is extracted directly from mirtobj.

Examples

## Not run: 
mirt1=unimirt(mathsdata,"2")
MirtToEstimatedClassical(mirt1)

## End(Not run)

CambridgeAssessmentResearch/unimirt documentation built on June 10, 2025, 6:03 a.m.