CreateCubicBF

This function generates two new cubic basis functions from a
variable and a knot previously created during MARS algorithm.

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

CreateCubicBF function

<dl><dt>data</dt>
<dd><code>data.frame</code> or <code>matrix</code> containing the variables in
the model.</dd>
<dt>xi</dt>
<dd>Variable index of the new basis function(s).</dd>
<dt>knt</dt>
<dd>Knots for creating the new basis function(s).</dd>
<dt>B</dt>
<dd>Matrix of basis functions.</dd>
<dt>side</dt>
<dd>Side of the basis function.</dd></dl>

Arguments

Generate a new pair of Cubic Basis Functions — CreateCubicBF

<dl>

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


<dt>xi</dt>
<dd>Variable index of the new basis function(s).</dd>


<dt>knt</dt>
<dd>Knots for creating the new basis function(s).</dd>


<dt>B</dt>
<dd>Matrix of basis functions.</dd>


<dt>side</dt>
<dd>Side of the basis function.</dd>

</dl>

CreateCubicBF: Generate a new pair of Cubic Basis Functions

Description

Usage

Value

Arguments