All functions

CDM()

Parameter Estimation for Cognitive Diagnosis Models (CDMs) by MMLE/EM or MMLE/BM Algorithm.

extract()

Extract Elements from Various Objects

fit()

Calculate Fit Indices

get.beta()

Calculate \(\beta\)

get.Mmatrix()

Calculate \(\mathbf{M}\) matrix

get.priority()

Priority of Attribute

get.PVAF()

Calculate PVAF

get.R2()

Calculate McFadden Pseudo-R2

get.Rmatrix()

Restriction Matrix

parallel_iter()

A tool for the \(\beta\) Method

plot(<CDM>) plot(<sim.data>) plot(<validation>)

Plot Methods for Various Qval Objects

print(<CDM>) print(<validation>) print(<sim.data>) print(<summary.CDM>) print(<summary.validation>) print(<summary.sim.data>)

Print Methods for Various Objects

sim.data()

Generate Response

sim.MQ()

Simulate Mis-specifications in Q-matrix

sim.Q()

Generate a Random Q-matrix

summary(<CDM>) summary(<validation>) summary(<sim.data>)

Summary Methods for Various Objects

update()

Update Method for Various Objects

validation()

Perform Q-matrix Validation Methods

Wald.test()

Wald Test for Two Q-vectors

zOSR()

Calculate Over-Specification Rate (OSR)

zQRR()

Calculate Q-matrix Recovery Rate (QRR)

zTNR()

Calculate True-Negative Rate (TNR)

zTPR()

Calculate True-Positive Rate (TPR)

zUSR()

Calculate Under-Specification Rate (USR)

zVRR()

Calculate Vector Recovery Ratio (VRR)