recursiveFormula | R Documentation |
return Recursive Score into raw response scale or return the theta itself
recursiveFormula(mirtModel, mins = F, devide = F, rotate = NULL, individual = F, extractThetaOnly = F)
mirtModel |
estimated aefa model |
mins |
logical; include the minimum value constants in the dataset. If FALSE, the expected values for each item are determined from the scoring 0:(ncat-1) |
devide |
logical; devide into the number of items. default is FALSE. |
rotate |
rotation method. Default is NULL, kaefa will be automatically select the rotation criteria using aefa calibrated model. |
individual |
logical; return tracelines for individual items? |
extractThetaOnly |
logical; return the theta only without recursive score? if TRUE, theta will return. |
recursively expected test score
## Not run: testMod1 <- aefa(mirt::Science, minExtraction = 1, maxExtraction = 2) aefaResults(testMod1) recursiveScore <- recursiveFormula(testMod1) ## End(Not run)
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