Obtain Strength Array and Other Values from a VarPro Object

Used to parse values from a VarPro object.

varpro.strength(object,
                newdata,
                m.target = NULL,
                max.rules.tree = 150,
                max.tree = 150,
                stat = c("importance", "complement", "oob", "none"),
                membership = FALSE,
                neighbor = 5,
                seed = NULL,
                do.trace = FALSE, ...)

Arguments

object

rfsrc object.

newdata

Optional test data. If provided, returns branch and complementary branch membership of the training data corresponding to the test cases.

m.target

Character string specifying the target outcome for multivariate families. If unspecified, a default is selected automatically.

max.rules.tree

Maximum number of rules extracted per tree.

max.tree

Maximum number of trees used for rule extraction.

stat

Statistic to return: "importance" for release importance, "complement" for the complementary-region response summary, "oob" for the original-region OOB response summary, or "none" to omit response summaries.

membership

Return out-of-bag and complementary membership indices for each rule?

neighbor

Nearest neighbor parameter, used only when newdata is specified.

seed

Seed for reproducibility.

do.trace

Enable detailed trace output.

...

Additional arguments.

Details

Not intended for direct end-user use; primarily designed for internal package operations.

Value

Object coerced so as to work with other functions in the package.

Examples

  
# \donttest{
## ------------------------------------------------------------
## regression example: boston housing
## ------------------------------------------------------------

## load the data
data(BostonHousing, package = "mlbench")

o <- randomForestSRC::rfsrc(medv~., BostonHousing, ntree=100)

## call varpro.strength
vs <- varpro.strength(object = o, max.rules.tree = 10, max.tree = 15)

## call varpro.strength with test data
vs <- varpro.strength(object = o, newdata = BostonHousing[1:3,], max.rules.tree = 10, max.tree = 15)

# }