mx_lca {tidySEM} | R Documentation |
This function simplifies the specification of latent class models: models that estimate membership of a categorical latent variable based on binary or ordinal indicators.
mx_lca(data = NULL, classes = 1L, run = TRUE, ...)
data |
The data.frame to be used for model fitting. |
classes |
A vector of integers, indicating which class solutions to
generate. Defaults to 1L. E.g., |
run |
Logical, whether or not to run the model. If |
... |
Additional arguments, passed to functions. |
Returns an mxModel
.
## Not run: df <- data_mixture_ordinal df[1:4] <- lapply(df, ordered) mx_lca(data = df, classes = 2) -> res ## End(Not run)