getOOBExcedences: function return the out-of-bag (oob) excedences in the...

Description Usage Arguments Value

View source: R/getOOBExcedences.R

Description

function return the out-of-bag (oob) excedences in the training set

Usage

1
getOOBExcedences(x, y, forest, quantile.threshold)

Arguments

x

the training set of features

y

the response vector

forest

the forest object used to create weights

quantile.threshold

the quantile from which we assume asymptotic regime¨

Value

a matrix of out-of-bag excedences (with 0 values if no excedences)


lorismichel/potForest documentation built on Nov. 18, 2017, 5:10 p.m.