R: Generation of IRT Response Patterns under Computerized Adaptive Testing

# Generation of IRT Response Patterns under Computerized Adaptive Testing

## Documentation for package ‘catR’ version 3.17

- DESCRIPTION file
- Package NEWS

## Help Pages

aStratified | Item membership assessment for a-stratified sampling
breakBank | Breaking the item bank in item parameters and group membership (for content balancing)
cat_pav | Items parameters of the CAT_PAV data set (with item names)
checkStopRule | Checking whether the stopping rule is satisfied
eapEst | EAP ability estimation (dichotomous and polytomous IRT models)
eapSem | Standard error of EAP ability estimation (dichotomous and polytomous IRT models)
EPV | Expected Posterior Variance (EPV)
fullDist | Full distribution of ability estimator (dichotomous models only)
GDI | Global-discrimination index (GDI) and posterior global-discrimination index (GDIP) for item selection
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.catR | Numerical integration by linear interpolation (for catR internal use)
Ji | Function J(theta) for weighted likelihood estimation (dichotomous and polytomous IRT models)
KL | Kullback-Leibler (KL) and posterior Kullback-Leibler (KLP) values for item selection
MEI | (Maximum) Expected Information (MEI)
MWI | Maximum likelihood weighted information (MLWI) and maximum posterior weighted information (MPWI)
nextItem | Selection of the next item
OIi | Observed information function (dichotomous and polytomous models)
Pi | Item response probabilities, first, second and third derivatives (dichotomous and polytomous models)
plot.cat | Random generation of adaptive tests (dichotomous and polytomous models)
plot.catResult | Simulation of multiple examinees of adaptive tests
print.cat | Random generation of adaptive tests (dichotomous and polytomous models)
print.catResult | Simulation of multiple examinees of adaptive tests
randomCAT | Random generation of adaptive tests (dichotomous and polytomous models)
semTheta | Standard error of ability estimation (dichotomous and polytomous models)
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 items
test.cbList | Testing the format of the list for content balancing under dichotomous or polytomous IRT models
testList | Testing the format of the input lists
thetaEst | Ability estimation (dichotomous and polytomous models)