IRT.classify function

Individual Classification for Fitted Models

Computes individual classifications based on a fitted model.

IRT.classify(object, type="MLE")

Arguments

• object: Fitted model for which methods IRT.likelihood and IRT.posterior are defined.
• type: Type of classification: "MLE" (maximum likelihood estimate) or "MAP" (maximum of posterior distribution)

Returns

List with entries

• class_theta: Individual classification

• class_index: Class index of individual classification

• class_maxval: Maximum value corresponding to individual classification

See Also

See IRT.factor.scores for similar functionality.

Examples

## Not run:

#############################################################################
# EXAMPLE 1: Individual classification data.ecpe
#############################################################################

data(data.ecpe, package="CDM")
dat <- data.ecpe$dat[,-1]
Q <- data.ecpe$q.matrix

#** estimate GDINA model
mod <- CDM::gdina(dat, q.matrix=Q)
summary(mod)

#** classify individuals
cmod <- CDM::IRT.classify(mod)
str(cmod)
## End(Not run)