ICcforest (version 0.5.1)

gettree.ICcforest: Extract an individual tree from an ICcforest object

Description

Extract the i-th individual tree from the established ICcforest. The resulting object can be printed or plotted, and predictions can be made using it.

Usage

# S3 method for ICcforest
gettree(object, tree = 1L, ...)

Arguments

object

an object as returned by ICcforest.

tree

an integer, the number of the tree to extract from the forest.

...

additional arguments.

Value

An object of class party.

Examples

# NOT RUN {
#### Example with dataset miceData
library(icenReg)
data(miceData)

## For ICcforest to run, Inf should be set to be a large number, for example, 9999999.
idx_inf <- (miceData$u == Inf)
miceData$u[idx_inf] <- 9999999.

## First, fit an iterval-censored conditional inference forest
Cforest <- ICcforest(formula = Surv(l,u,type="interval2")~grp, data = miceData, ntree = 50L)
## Extract the 50-th tree from the forest
plot(gettree(Cforest, tree = 50L))

# }