predict.rm_reg: Prediction function for the rm_reg_model

In randomMachines: An Ensemble Modeling using Random Machines

Prediction function for the rm_reg_model

Description

This function predicts the outcome for a RM object model using new data for continuous y

Usage

## S4 method for signature 'rm_reg'
predict(object,newdata)

Arguments

object	A fitted RM model object of class rm_reg.
newdata	A data frame or matrix containing the new data to be predicted.

Value

Predicted values newdata object from the Random Machines model.

Examples

# Generating a sample for the simulation
library(randomMachines)
sim_data <- sim_reg1(n = 75)
sim_new <- sim_reg1(n = 25)
rm_mod_reg <- randomMachines(y~., train = sim_data)
y_hat <- predict(rm_mod_reg, newdata = sim_new)

randomMachines documentation built on Aug. 8, 2025, 6:15 p.m.