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catR (version 2.4)

Procedures to generate IRT adaptive tests (CAT)

Description

The catR package allows the generation of response patterns under computerized adaptive testing (CAT) framework, with the choice of several starting rules, next item selection routines, stopping rules and ability estimators. Control methods for item exposure and content balancing are also included.

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Version

Install

install.packages('catR')

Monthly Downloads

1,370

Version

2.4

License

GPL (>= 2)

Maintainer

David Magis

Last Published

January 17th, 2013

Functions in catR (2.4)

OIi

Observed information function (4PL)
eapEst

EAP ability estimation under the 4PL model
thetaEst

Ability estimation under the 4PL model
nextItem

Selection of the next item
Ii

Item information functions, first and second derivatives (4PL)
eapSem

Standard error of EAP ability estimation under the 4PL model
test.cbList

Testing the format of the list for content balancing
MWI

Maximum likelihood weighted information (MLWI) and maximum posterior weighted information (MPWI)
randomCAT

Random generation of adaptive tests
startItems

Selection of the first items
Pi

Item response probabilities, first, second and third derivatives (4PL)
tcals

Items parameters of the TCALS 1998 data set and subgroups of items
MEI

(Maximum) Expected Information (MEI)
EPV

Expected Posterior Variance (EPV)
createItemBank

Item bank generation
semTheta

Standard error of ability estimation under the 4PL model
testList

Testing the format of the input lists