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All functions

checkContextVars()
check for consistency of context variables and items
checkLinking()
check for linked design
compareDefineModelObjects()
Compares two defineModel objects
correlationFromRes()
Gives correlation estimates from the object returned by getResults()
defineModel()
Prepares IRT analysis for Conquest, TAM, or mirt
des2
Exemplary test design which may be typical in the context of large-scale assessment.
des3
Exemplary test design for math and sciences (Biology, Chemistry, Physics).
eapFromRes()
Collects all EAP results from the object returned by getResults()
eapRelFromRes()
Gives EAP reliability from the object returned by getResults()
eatModel-package
Specify and run IRT models from R (using Conquest, TAM, or mirt), including equating methods and parameter transformation.
equat1pl()
1pl equating with optional elimination of linking DIF items
get.dsc()
Read Conquest ‘descriptives’ output files.
get.equ()
Reads equivalence table created in Conquest analysis.
get.itn()
Read ConQuest ‘itanal’ Output Files
get.plausible()
Read Conquest Plausible Values Output Files
get.prm()
Read Conquest prm (parameter) Output Files
get.shw()
Read ConQuest showfiles
get.wle()
Read Conquest WLE or MLE Output Files
getResults()
Collect all results from Conquest, TAM, or mirt analyses into a common data frame
itemFromRes()
Collect all item results from the object returned by getResults()
multiEquatError()
1pl linking errors for three measurement occasions
plotDevianceConquest()
Deviance Plot for Conquest log files
plotDevianceMirt()
Deviance Plot for mirt objects
plotICC()
Plots item characteristic curves.
pvFromRes()
Collects all plausible values from the object returned by getResults()
q3FromRes()
Extracts the Q3 matrices from the object returned by getResults()
reading
Dichotomous and partial credit responses for reading comprehension data obtained from large-scale assessment
regcoefFromRes()
Gives regression coefficients (betas) from the object returned by getResults()
replaceLinkingError()
Output interface for multiEquatError
runModel()
Run IRT model specified by 'defineModel' using Conquest, TAM, ort mirt
simEquiTable()
Computes equivalence table for the Rasch and partial credit model
splitModels()
Create several models by splitting the qMatrix and/or person.groups
transformToBista()
Transformation of item and person parameters to the Bista metric.
trends
Reading and listening achievement test data obtained from large-scale assessment at three times of measurement
wleFromRes()
Collects all WLEs from the object returned by getResults()
wleRelFromRes()
Gives WLE reliability from the object returned by getResults()