DEA_object

This function estimates a production frontier satisfying Data
Envelope Analysis axioms using the radial output measure.
This function saves information about the DEA 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

DEA 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>pred</dt>
<dd>Output predictions using the BBC radial output measure</dd>
<dt>score</dt>
<dd>Efficiency score using the BBC radial output measure</dd></dl>

Arguments

Data Envelope Analysis model — DEA

<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>pred</dt>
<dd>Output predictions using the BBC radial output measure</dd>


<dt>score</dt>
<dd>Efficiency score using the BBC radial output measure</dd>

</dl>

DEA: Data Envelope Analysis model

Description

Usage

Value

Arguments