predict.hdpGLM: hdpGLM Predicted values

In hdpGLM: Hierarchical Dirichlet Process Generalized Linear Models

hdpGLM Predicted values

Description

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

Usage

## S3 method for class 'hdpGLM'
predict(object, new_data = NULL, ...)

Arguments

object	outcome of the function hdpLGM
new_data	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...

Value

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.

hdpGLM documentation built on Oct. 13, 2023, 1:17 a.m.