R: Simulate Ordinal Item Data from a Sparse Latent Class Model

sim_slcm {ohoegdm}

R Documentation

Simulate Ordinal Item Data from a Sparse Latent Class Model

Simulate Ordinal Item Data from a Sparse Latent Class Model

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

`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

An ordinal item matrix of dimensions N \times J with M response levels.