Classification Accuracy and Consistency under Item Response Theory

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Documentation for package ‘cacIRT’ version 1.4

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cacIRT-package Classification accuracy and consistency under Item Response Theory
cacIRT Classification accuracy and consistency under Item Response Theory
class.Lee Computes classification accuracy and consistency with Lee's approach.
class.Rud Computes classification accuracy and consistency with Rudner's approach.
gen.rec.raw Recursive computation of conditional total score
iif A collection of useful IRT functions.
irf A collection of useful IRT functions.
Lee.D Computes classification accuracy and consistency with Lee's approach.
Lee.P Computes classification accuracy and consistency with Lee's approach.
Lee.pnr Computes classification accuracy and consistency using Lathrop and Cheng's (2014) nonparametric approach.
Lee.poly.D Computes classification accuracy and consistency with Lee's approach for polytomous IRT models.
Lee.poly.P Computes classification accuracy and consistency with Lee's approach for polytomous IRT models.
MLE A collection of useful IRT functions.
normal.qu A collection of useful IRT functions.
pnr Computes classification accuracy and consistency using Lathrop and Cheng's (2014) nonparametric approach.
recursive.raw Recursive computation of conditional total score
Rud.D Computes classification accuracy and consistency with Rudner's approach.
Rud.P Computes classification accuracy and consistency with Rudner's approach.
SEM A collection of useful IRT functions.
sim A collection of useful IRT functions.
tif A collection of useful IRT functions.
Useful IRT Functions A collection of useful IRT functions.