macs (version 1.0)

forecast.ctree: Predict method for RTREE Model Fits

Description

Predicted values based on RTREE model object.

Usage

# S3 method for ctree
forecast(object, newdata, ...)

Arguments

object

Object of class inheriting from "ctree"

newdata

An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.

...

Further arguments to be passed to forecast.ctree

Value

predictor

result of prediction for each row.

node

each value matches the ordinal number of terminal node.

Details

forecast.ctree produces predicted values, obtained by evaluating the function tarv and rtree in the frame newdata.

See Also

The model fitting function tarv and rtree

Examples

# NOT RUN {
# load "macs" library
library("macs")

# construct RTREE model
set.seed(1234)
data <- data.frame(y = sample(1:3, 1000, replace = TRUE),
                   n = as.factor(sample(1:4, 1000, replace = TRUE,
                                        prob = c(0.1, 0.3, 0.2, 0.4))),
                   o1 = sample(1:50, 1000, replace = TRUE),
                   o2 = sample(1:30, 1000, replace = TRUE),
                   o3 = sample(1:10, 1000, replace = TRUE),
                   o4 = sample(1:60, 1000, replace = TRUE),
                   o5 = sample(1:20, 1000, replace = TRUE),
                   o6 = sample(1:40, 1000, replace = TRUE))
head(data)
result <- rtree(data, method = "entropy", alpha = 0.01, cost = c(1, 1, 1))
result

# predictions
forecast(result, data[1:10, 2:8])
# }