deepEAT: Deep Efficiency Analysis Trees

Description Usage Arguments Value

View source: R/EAT.R

Description

This function creates a deep tree and a set of possible prunings by pruning through the weakest-link pruning procedure.

Usage

1
deepEAT(data, x, y, numStop = 5, max.depth = NULL, max.leaves = NULL)

Arguments

data

Dataframe or matrix containing the variables in the model.

x

Vector. Column input indexes in data.

y

Vector. Column output indexes in data.

numStop

Integer. Minimum number of observations in a node for a split to be attempted.

max.depth

Integer. Depth of the tree.

max.leaves

Integer. Maximum number of leaf nodes.

Value

List containing each possible pruning for the deep tree and its associated alpha value.


eat documentation built on April 9, 2021, 9:08 a.m.