LC2LG {GDINA}R Documentation

Transformation between latent classes and latent groups

Description

This function gives the equivalent latent classes which have the same category success probabilities for each category or item.

Usage

LC2LG(Q, sequential = FALSE, att.str = NULL)

Arguments

Q

A required J×KJ \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 kthk^{th} attribute is measured by item jj, and 0 means item jj does not measure attribute kk.

sequential

logical; whether the Q-matrix is a Qc-matrix for sequential models?

att.str

attribute structure. See GDINA for details.

Value

An item or category by latent class matrix. In the G-DINA model, if item j measures KjKj attributes, 2K2^K latent classes can be combined into 2Kj2^{Kj} latent groups. This matrix gives which latent group each of 2K2^K latent classes belongs to for each item.

Author(s)

Wenchao Ma, The University of Alabama, wenchao.ma@ua.edu
Jimmy de la Torre, The University of Hong Kong

Examples

attributepattern(3)

q <- matrix(scan(text = "0 1 0 1 0 1 1 1 0"),ncol = 3)
q
LC2LG(Q = q)


[Package GDINA version 2.9.4 Index]