catR: Generation of IRT Response Patterns under Computerized Adaptive Testing

Provides routines for the generation of response patterns under unidimensional dichotomous and polytomous computerized adaptive testing (CAT) framework. It holds many standard functions to estimate ability, select the first item(s) to administer and optimally select the next item, as well as several stopping rules. Options to control for item exposure and content balancing are also available (Magis and Raiche (2012) <doi:10.18637/jss.v048.i08>).

AuthorDavid Magis (U Liege, Belgium), Gilles Raiche (UQAM, Canada), Juan Ramon Barrada (U Zaragoza, Spain)
Date of publication2017-01-08 12:02:08
MaintainerDavid Magis <david.magis@ulg.ac.be>
LicenseGPL (>= 2)
Version3.12

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Man pages

breakBank: Breaking the item bank in item parameters and group...

checkStopRule: Checking whether the stopping rule is satisfied

eapEst: EAP ability estimation (dichotomous and polytomous IRT...

eapSem: Standard error of EAP ability estimation (dichotomous and...

EPV: Expected Posterior Variance (EPV)

GDI: Global-discrimination index (GDI) and posterior...

genDichoMatrix: Item bank generation (dichotomous models)

genPattern: Random generation of item response patterns under dichotomous...

genPolyMatrix: Item bank generation (polytomous models)

Ii: Item information functions, first and second derivatives...

integrate.catR: Numerical integration by linear interpolation (for catR...

Ji: Function J(theta) for weighted likelihood estimation...

KL: Kullback-Leibler (KL) and posterior Kullback-Leibler (KLP)...

MEI: (Maximum) Expected Information (MEI)

MWI: Maximum likelihood weighted information (MLWI) and maximum...

nextItem: Selection of the next item

OIi: Observed information function (dichotomous and polytomous...

Pi: Item response probabilities, first, second and third...

randomCAT: Random generation of adaptive tests (dichotomous and...

semTheta: Standard error of ability estimation (dichotomous and...

simulateRespondents: Simulation of multiple examinees of adaptive tests

startItems: Selection of the first items

tcals: Items parameters of the TCALS 1998 data set and subgroups of...

test.cbList: Testing the format of the list for content balancing under...

testList: Testing the format of the input lists

thetaEst: Ability estimation (dichotomous and polytomous models)

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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