Builds a MIMIC model: observed covariates predict a reflective
latent factor that in turn loads on observed indicators. The cause
side is formative and the effect side is reflective, a structure
widely used to model the effect of background variables on a latent
trait and to probe differential item functioning.
Usage
umg_mimic(
causes = c("z1", "z2"),
indicators = paste0("y", 1:4),
factor = "F",
plate_index = "i = 1, ..., N"
)
Arguments
- causes
Character vector of observed predictor names.
- indicators
Character vector of reflective indicator names.
- factor
Name of the latent factor.
- plate_index
Index label for the person plate.
Value
An object of class umg.