sim_slcm function

Simulate Ordinal Item Data from a Sparse Latent Class Model

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 $N$ observations containing the class ID of the subject.
• Atable: A matrix of dimensions $M^K \times M^O$ containing the attribute classes in bijection-form. Note, $O$ refers to the model's highest interaction order.
• BETA: A matrix of dimensions $J \times M^K$ containing the coefficients of the reparameterized $\beta$ matrix.
• KAPPA: A matrix of dimensions $J \times M$ containing the category threshold parameters

Returns

An ordinal item matrix of dimensions $N x J$ with $M$

response levels.

See Also

ohoegdm