AddBF

This function adds the best pair of basis functions to the 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

AddBF function

<dl><dt>data</dt>
<dd>data <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>ForwardModel</dt>
<dd><code>list</code> containing the set of basis functions and the
B matrix.</dd>
<dt>knots_list</dt>
<dd><code>list</code> containing the set of selected knots.</dd>
<dt>Kp</dt>
<dd>Maximum degree of interaction allowed.</dd>
<dt>minspan</dt>
<dd><code>integer</code>. Minimum number of observations between knots.
When <code>minspan = 0</code>, it is calculated as in Friedman's MARS paper section
3.8 with alpha = 0.05.</dd>
<dt>Le</dt>
<dd><code>integer</code> Minimum number of observations before the first and
after the final knot.</dd>
<dt>linpreds</dt>
<dd><code>logical</code>. If <code>TRUE</code>, predictors can enter linearly</dd>
<dt>err_min</dt>
<dd>Minimum error in the split.</dd></dl>

Arguments

Add a new pair of Basis Functions — AddBF

<dl>

<dt>data</dt>
<dd>data <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>ForwardModel</dt>
<dd><code>list</code> containing the set of basis functions and the
B matrix.</dd>


<dt>knots_list</dt>
<dd><code>list</code> containing the set of selected knots.</dd>


<dt>Kp</dt>
<dd>Maximum degree of interaction allowed.</dd>


<dt>minspan</dt>
<dd><code>integer</code>. Minimum number of observations between knots.
When <code>minspan = 0</code>, it is calculated as in Friedman's MARS paper section
3.8 with alpha = 0.05.</dd>


<dt>Le</dt>
<dd><code>integer</code> Minimum number of observations before the first and
after the final knot.</dd>


<dt>linpreds</dt>
<dd><code>logical</code>. If <code>TRUE</code>, predictors can enter linearly</dd>


<dt>err_min</dt>
<dd>Minimum error in the split.</dd>

</dl>

AddBF: Add a new pair of Basis Functions

Description

Usage

Value

Arguments