CDM: IRT.classify – R documentation

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CDM

IRT.classify

Individual Classification for Fitted Models

Description

Computes individual classifications based on a fitted model.

Usage

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)

Value

List with entries

`class_theta`	Individual classification
`class_index`	Class index of individual classification
`class_maxval`	Maximum value corresponding to individual classification

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)

CDM

Cognitive Diagnosis Modeling

v7.5-15

GPL (>= 2)

Authors

Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Ann Cathrice George [aut], Ali Uenlue [aut]

Initial release

2020-03-10 14:19:21