deviance: S3 Methods: deviance

In ForceChoice: Forced-Choice Modeling Based on Item Response Theory and Cognitive Diagnostic Models

S3 Methods: deviance

Description

Returns the model deviance, defined as -2 \ell where \ell is the marginal log-likelihood evaluated at the parameter estimates.

Usage

## S3 method for class 'MIRT'
deviance(object, ...)

## S3 method for class 'MGPCM'
deviance(object, ...)

## S3 method for class 'MGGUM'
deviance(object, ...)

## S3 method for class 'FCMIRT'
deviance(object, ...)

## S3 method for class 'FCDCM'
deviance(object, ...)

## S3 method for class 'FCGDINA'
deviance(object, ...)

## S3 method for class 'FCGGUM'
deviance(object, ...)

## S3 method for class 'TIRT'
deviance(object, ...)

Arguments

object	A fitted model object.
...	Additional arguments (currently ignored).

Value

A numeric scalar: -2 \log L.

Methods (by class)

• deviance(MIRT): Model deviance (-2 \ell) for MIRT objects.

• deviance(MGPCM): Model deviance for MGPCM objects.

• deviance(MGGUM): Model deviance for MGGUM objects.

• deviance(FCMIRT): Model deviance for FCMIRT objects.

• deviance(FCDCM): Model deviance for FCDCM objects.

• deviance(FCGDINA): Model deviance for FCGDINA objects.

• deviance(FCGGUM): Model deviance for FCGGUM objects.

• deviance(TIRT): Model deviance for TIRT objects.

ForceChoice documentation built on Sept. 13, 2026, 1:06 a.m.