Procedures to Generate Patterns under Multistage Testing

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Documentation for package ‘mstR’ version 1.2

• DESCRIPTION file.
• Package NEWS.

Help Pages

eapEst	EAP ability estimation (dichotomous and polytomous IRT models)
eapSem	Standard error of EAP ability estimation (dichotomous and polytomous IRT models)
genDichoMatrix	Item bank generation (dichotomous models)
genPattern	Random generation of item response patterns under dichotomous and polytomous IRT models
genPolyMatrix	Item bank generation (polytomous models)
Ii	Item information functions, first and second derivatives (dichotomous and polytomous models)
integrate.mstR	Numerical integration by linear interpolation (for mstR internal use)
Ji	Function J(theta) for weighted likelihood estimation (dichotomous and polytomous IRT models)
MKL	Module Kullback-Leibler (MKL) and posterior module Kullback-Leibler (MKLP)
MWMI	Maximum likelihood weighted module information (MLWMI) and maximum posterior weighted module information (MPWMI)
nextModule	Selection of the next module in MST
Pi	Item response probabilities, first, second and third derivatives (dichotomous and polytomous models)
plot.mst	Random generation of multistage tests (dichotomous and polytomous models)
print.mst	Random generation of multistage tests (dichotomous and polytomous models)
randomMST	Random generation of multistage tests (dichotomous and polytomous models)
semTheta	Standard error of ability estimation (dichotomous and polytomous models)
startModule	Selection of the first module in MST
testListMST	Testing the format of the MST input lists
thetaEst	Ability estimation (dichotomous and polytomous models)