R: Classification Accuracy and Consistency under Item Response Theory

# Classification Accuracy and Consistency under Item Response Theory

## Documentation for package ‘cacIRT’ version 1.4

- DESCRIPTION file

## Help Pages

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.