sim_slcm {ohoegdm}R Documentation

Simulate Ordinal Item Data from a Sparse Latent Class Model

Description

Simulate Ordinal Item Data from a Sparse Latent Class Model

Usage

sim_slcm(N, J, M, nClass, CLASS, Atable, BETA, KAPPA)

Arguments

N

Number of Observations

J

Number of Items

M

Number of Item Categories (2, 3, ..., M)

nClass

Number of Latent Classes

CLASS

A vector of NN observations containing the class ID of the subject.

Atable

A matrix of dimensions MK×MOM^K \times M^O containing the attribute classes in bijection-form. Note, OO refers to the model's highest interaction order.

BETA

A matrix of dimensions J×MKJ \times M^K containing the coefficients of the reparameterized β\beta matrix.

KAPPA

A matrix of dimensions J×MJ \times M containing the category threshold parameters

Value

An ordinal item matrix of dimensions N×JN \times J with MM response levels.

See Also

ohoegdm


[Package ohoegdm version 0.1.0 Index]