R: Nonparametric Methods for Cognitive Diagnosis

# Nonparametric Methods for Cognitive Diagnosis

## Documentation for package ‘NPCD’ version 1.0-11

- DESCRIPTION file

## Help Pages

NPCD-package | NPCD: The R Package for Nonparametric Methods for Cognitive Diagnosis
AlphaMLE | Maximum likelihood estimation of attribute profile
AlphaNP | Nonparametric estimation of attribute profiles
CDL | Log-likelihood for cognitive diagnostic models
CDP | Probability of correct response for cognitive diagnostic models
Data.DINA | Example dataset generated using DINA model
Data.DINO | Example dataset generated using DINO model
Data.Qrefine | Example dataset used for the 'Qrefine' function
ItemFit | Compute item fit statistics for outputs generated by estimation functions in the package
JMLE | Joint maximum likelihood estimation of item parameters and examinee attribute profiles
ModelFit | Compute overall model fit statistics for outputs generated by estimation functions in the package
ParMLE | Maximum likelihood estimation of item parameters for cognitive diagnostic models.
plot.AlphaMLE | Produce diagnostic plots
plot.AlphaNP | Produce diagnostic plots
plot.JMLE | Produce diagnostic plots
plot.Qrefine | Produce diagnostic plots
print.AlphaMLE | Print outputs generated from the functions in the package.
print.AlphaNP | Print outputs generated from the functions in the package.
print.JMLE | Print outputs generated from the functions in the package.
print.ParMLE | Print outputs generated from the functions in the package.
print.Qrefine | Print outputs generated from the functions in the package.
Qrefine | Refine the Q-matrix by minimizing the residual sum of square (RSS)