Classification accuracy and consistency under Item Response Theory

Documentation for package ‘cacIRT’ version 1.3

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.poly.P	Computes classification accuracy and consistency with Lee's approach.
MLE	A collection of useful IRT functions.
normal.qu	A collection of useful IRT functions.
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.
TOtable.F	A general classification table for computing True accuracy or consistency
Useful IRT Functions	A collection of useful IRT functions.