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catR (version 3.6)
Procedures to Generate Patterns under Computerized Adaptive Testing
Description
Generation of response patterns under dichotomous and polytomous computerized adaptive testing (CAT) framework.
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Install
install.packages('catR')
Monthly Downloads
5,299
Version
3.6
License
GPL (>= 2)
Maintainer
David Magis
Last Published
January 2nd, 2016
Functions in catR (3.6)
Search functions
semTheta
Standard error of ability estimation (dichotomous and polytomous models)
test.cbList
Testing the format of the list for content balancing under dichotomous or polytomous IRT models
MEI
(Maximum) Expected Information (MEI)
eapEst
EAP ability estimation (dichotomous and polytomous IRT models)
tcals
Items parameters of the TCALS 1998 data set and subgroups of items
GDI
Global-discrimination index (GDI) and posterior global-discrimination index (GDIP) for item selection
integrate.catR
Numerical integration by linear interpolation (for catR internal use)
thetaEst
Ability estimation (dichotomous and polytomous models)
breakBank
Breaking the item bank in item parameters and group membership (for content balancing)
Ji
Function $J(\theta)$ for weighted likelihood estimation (dichotomous and polytomous IRT models)
startItems
Selection of the first items
eapSem
Standard error of EAP ability estimation (dichotomous and polytomous IRT models)
OIi
Observed information function (dichotomous and polytomous models)
genPattern
Random generation of item response patterns under dichotomous and polytomous IRT models
genDichoMatrix
Item bank generation (dichotomous models)
MWI
Maximum likelihood weighted information (MLWI) and maximum posterior weighted information (MPWI)
KL
Kullback-Leibler (KL) and posterior Kullback-Leibler (KLP) values for item selection
Ii
Item information functions, first and second derivatives (dichotomous and polytomous models)
simulateRespondents
Simulation of multiple examinees of adaptive tests
testList
Testing the format of the input lists
Pi
Item response probabilities, first, second and third derivatives (dichotomous and polytomous models)
nextItem
Selection of the next item
EPV
Expected Posterior Variance (EPV)
genPolyMatrix
Item bank generation (polytomous models)
randomCAT
Random generation of adaptive tests (dichotomous and polytomous models)