ModelFit: Compute overall model fit statistics for outputs generated by...

In NPCD: Nonparametric Methods for Cognitive Diagnosis

Description

This function computes overall model fit statistics for outputs generated by estimation functions in the package, including ParMLE and JMLE. The function currently provides the AIC and BIC statistics.

Usage

ModelFit(x)

Arguments

x	The output from the function (The list of all outputs).

Value

AIC	The AIC statistic of the overall model. See the reference for details.
BIC	The BIC statistic of the overall model. See the reference for details.

References

Chen, J. de la Torre, J., & Zhang, Z. (2013). Relative and absolute fit evaluation in cognitive diagnosis modeling. Journal of Educational Measurement, 50, 123-140.

See Also

ParMLE, JMLE

Examples

# See examples in ParMLE and JMLE.

Example output

Loading required package: BB
Loading required package: R.oo
Loading required package: R.methodsS3
R.methodsS3 v1.7.1 (2016-02-15) successfully loaded. See ?R.methodsS3 for help.
R.oo v1.22.0 (2018-04-21) successfully loaded. See ?R.oo for help.

Attaching package: 'R.oo'

The following objects are masked from 'package:methods':

    getClasses, getMethods

The following objects are masked from 'package:base':

    attach, detach, gc, load, save

NPCD documentation built on Nov. 16, 2019, 1:08 a.m.