Transformation between latent classes and latent groups
This function gives the equivalent latent classes which have the same category success probabilities for each category or item.
LC2LG(Q, sequential = FALSE, att.str = NULL)
Q |
A required J \times K binary Q-matrix. J represents test length and K represents the number of attributes of this test. Entry 1 at row j and column k represents the k^{th} attribute is measured by item j, and 0 means item j does not measure attribute k. |
sequential |
logical; whether the Q-matrix is a Qc-matrix for sequential models? |
att.str |
attribute structure. See |
An item or category by latent class matrix. In the G-DINA model, if item j measures Kj attributes, 2^K latent classes can be combined into 2^{Kj} latent groups. This matrix gives which latent group each of 2^K latent classes belongs to for each item.
Wenchao Ma, The University of Alabama, wenchao.ma@ua.edu
Jimmy de la Torre, The University of Hong Kong
attributepattern(3) q <- matrix(scan(text = "0 1 0 1 0 1 1 1 0"),ncol = 3) q LC2LG(Q = q)
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