Package index • Qval

All functions
`CDM()`	Parameter estimation for cognitive diagnosis models (CDMs) by MMLE/EM or MMLE/BM algorithm.
`fit()`	Calculate data fit indeces
`get.Mmatrix()`	Calculate \(\mathbf{M}\) matrix
`get.priority()`	Priority of Attribute
`get.PVAF()`	Calculate \(PVAF\)
`get.R2()`	Calculate McFadden pseudo-\(R^{2}\)
`get.Rmatrix()`	Restriction matrix
`parallel_iter()`	A tool for the \(\beta\) Method
`plot(<Hull>)`	Hull Plot
`sim.data()`	generate response data
`sim.MQ()`	Simulate mis-specifications
`sim.Q()`	generate a random Q-matrix
`validation()`	Perform Q-matrix validation methods
`Wald.test()`	Wald.test for two q-vecotrs
`zOSR()`	Caculate over-specifcation rate (OSR)
`zQRR()`	Caculate Q-matrix recovery rate (QRR)
`zTNR()`	Calculate true negative rate (TNR)
`zTPR()`	Caculate true-positive rate (TPR)
`zUSR()`	Caculate under-specifcation rate (USR)
`zVRR()`	Caculate vector recovery ratio (VRR)

Reference