restore: Restoration for Random Forests for Survival, Regression, and Classification

Description

Restoration mode for RF-SRC.

Usage

## S3 method for class 'rfsrc':
restore(object,
  importance = c("permute", "random", "permute.ensemble", "random.ensemble", "none"),
  proximity = FALSE, var.used = c(FALSE, "all.trees", "by.tree"),
  split.depth = c(FALSE, "all.trees", "by.tree"), seed = NULL, do.trace = FALSE,
  membership = FALSE, ...)

Arguments

object

An object of class (rfsrc, grow) or

(rfsrc,
	forest)

. Requires in the original rfsrc call.

importance

Method used to compute variable importance.

proximity

Should the proximity between observations be calculated?

var.used

Analyzes which variables are split on.

split.depth

Return minimal depth for each variable for each case.

seed

Negative integer specifying the random number generator seed.

do.trace

Should trace output be enabled? Default is FALSE. Integer values can also be passed. A positive value causes output to be printed each do.trace iteration.

membership

Should terminal node membership and inbag information be returned?

...

Further arguments passed to or from other methods.

Value

An object of class (rfsrc, predict).

Details

restore takes the forest grow object and gives the user the ability to restore all grow outputs.

Examples

Run this code

airq.obj <- rfsrc(Ozone ~ ., data = airquality, na.action = "na.impute", ntree=100)
restore(airq.obj)
print(airq.obj)