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cacIRT (version 1.4)

Classification Accuracy and Consistency under Item Response Theory

Description

Computes classification accuracy and consistency indices under Item Response Theory. Implements the total score IRT-based methods in Lee, Hanson & Brennen (2002) and Lee (2010), the IRT-based methods in Rudner (2001, 2005), and the total score nonparametric methods in Lathrop & Cheng (2014). For dichotomous and polytomous tests.

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Version

Install

install.packages('cacIRT')

Monthly Downloads

428

Version

1.4

License

GPL (>= 2)

Maintainer

Quinn N Lathrop

Last Published

August 27th, 2015

Functions in cacIRT (1.4)

recursive.raw

Recursive computation of conditional total score
Useful IRT Functions

A collection of useful IRT functions.
Lee.poly

Computes classification accuracy and consistency with Lee's approach for polytomous IRT models.
cacIRT-package

Classification accuracy and consistency under Item Response Theory
class.Lee

Computes classification accuracy and consistency with Lee's approach.
Nonparametric Approach to CA and CC

Computes classification accuracy and consistency using Lathrop and Cheng's (2014) nonparametric approach.
class.Rud

Computes classification accuracy and consistency with Rudner's approach.