Function returns the predicted (fitted) values of the outcome variable using
the estimated posterior expectation of the linear covariate betas produced by
the hdpGLM function
# S3 method for dpGLM
predict(object, new_data = NULL, ...)outcome of the function hdpLGM
data frame with the values of the covariates that are going to be used to generate the predicted/fitted values. The posterior mean is used to create the predicted values
family : a string with the family of the output variable:
gaussian (default), binomial, etc...
It returns a data.frame with the fitted values for the outcome
variable, which are produced using the estimated posterior expectation of the
linear coefficients beta.