Package index • Qval

All functions
`CDM()`	Parameter estimation for cognitive diagnosis models (CDMs) by MMLE/EM or MMLE/BM algorithm.
`extract()`	Extract elements from objects of various classes
`fit()`	Calculate fit indeces
`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 Method for CDM Objects
`plot(<sim.data>)`	Plot Method for sim.data Objects
`plot(<validation>)`	Hull Plot
`print(<CDM>)`	Print Method for CDM Objects
`print(<sim.data>)`	Print Method for sim.data Objects
`print(<summary.CDM>)`	Print Method for summary.CDM Objects
`print(<summary.sim.data>)`	Print Method for summary.sim.data Objects
`print(<summary.validation>)`	Print Method for summary.validation Objects
`print(<validation>)`	Print Method for Validation Objects
`sim.data()`	generate response
`sim.MQ()`	Simulate mis-specifications in the Q-matrix
`sim.Q()`	generate a random Q-matrix
`summary(<CDM>)`	Summary method for CDM objects
`summary(<sim.data>)`	Summary method for sim.data objects
`summary(<validation>)`	Summary method for validation objects
`validation()`	Perform Q-matrix validation methods
`Wald.test()`	the 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)

Reference

All functions