Model Predictions for Estimated slca Object

Provides predicted class memberships or posterior probabilities based on a fitted slca model. If newdata is omitted, predictions are computed from the posterior probabilities stored in object.

Usage

# S3 method for class 'slcafit'
predict(object, newdata, type = c("class", "posterior"), ...)

Arguments

object: An object of class slcafit, representing a fitted slca model.
newdata: A data.frame, matrix, or vector containing the same manifest variables as those used to estimate the object. Unknown response levels are not allowed.
type: A character string indicating the type of prediction. Use "class" to obtain the predicted class membership for each observation and latent class variable, or "posterior" to retrieve posterior probabilities for each class. The default is "class".
...: Additional arguments passed to other methods.

Value

A data.frame or list depending on the type:

For type = "class", a data.frame is returned where rows represent observations and columns correspond to latent class variables.
For type = "posterior", a list is returned containing one matrix for each latent class variable. Rows represent observations and columns represent latent classes.