EAT_object

This function saves information about the Efficiency Analysis Trees model.

Includes functions to estimate production frontiers
and make ideal output predictions in the Data Envelopment Analysis (DEA)
context using both standard models from DEA and Free Disposal Hull (FDH)
and boosting techniques. In particular, EATBoosting (Guillen et al., 2023
<doi:10.1016/j.eswa.2022.119134>) and MARSBoosting. Moreover, the package
includes code for estimating several technical efficiency measures using
different models such as the input and output-oriented radial measures, the
input and output-oriented Russell measures, the Directional Distance
Function (DDF), the Weighted Additive Measure (WAM) and the Slacks-Based
Measure (SBM).

Maria D. Guillen

boostingDEA

A Boosting Approach to Data Envelopment Analysis

Juan Aparicio

Víctor España

EAT_object function

<dl><dt>data</dt>
<dd><code>data.frame</code> or <code>matrix</code> containing the variables in the model.</dd>
<dt>x</dt>
<dd>Column input indexes in <code>data</code>.</dd>
<dt>y</dt>
<dd>Column output indexes in <code>data</code>.</dd>
<dt>rownames</dt>
<dd><code>string</code>. Data rownames.</dd>
<dt>numStop</dt>
<dd>Minimum number of observations in a node for a split to be attempted.</dd>
<dt>max.leaves</dt>
<dd>Depth of the tree.</dd>
<dt>na.rm</dt>
<dd><code>logical</code>. If <code>TRUE</code>, <code>NA</code> rows are omitted. If <code>FALSE</code>, an error occurs in case of <code>NA</code> rows.</dd>
<dt>tree</dt>
<dd><code>list</code> containing the nodes of the Efficiency Analysis Trees pruned model.</dd></dl>

Arguments

Create a EAT object — EAT_object

<dl>

<dt>data</dt>
<dd><code>data.frame</code> or <code>matrix</code> containing the variables in the model.</dd>


<dt>x</dt>
<dd>Column input indexes in <code>data</code>.</dd>


<dt>y</dt>
<dd>Column output indexes in <code>data</code>.</dd>


<dt>rownames</dt>
<dd><code>string</code>. Data rownames.</dd>


<dt>numStop</dt>
<dd>Minimum number of observations in a node for a split to be attempted.</dd>


<dt>max.leaves</dt>
<dd>Depth of the tree.</dd>


<dt>na.rm</dt>
<dd><code>logical</code>. If <code>TRUE</code>, <code>NA</code> rows are omitted. If <code>FALSE</code>, an error occurs in case of <code>NA</code> rows.</dd>


<dt>tree</dt>
<dd><code>list</code> containing the nodes of the Efficiency Analysis Trees pruned model.</dd>

</dl>

EAT_object: Create a EAT object

Description

Usage

Value

Arguments