EstimCoeffsForward

This function solves a Quadratic Programming Problem to obtain a
set of coefficients.

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

EstimCoeffsForward function

<dl><dt>B</dt>
<dd><code>matrix</code> of basis functions.</dd>
<dt>y</dt>
<dd>Output <code>vector</code> in data.</dd></dl>

Arguments

Estimate Coefficients in Multivariate Adaptive Frontier Splines during
Forward Procedure. — EstimCoeffsForward

<dl>

<dt>B</dt>
<dd><code>matrix</code> of basis functions.</dd>


<dt>y</dt>
<dd>Output <code>vector</code> in data.</dd>

</dl>

EstimCoeffsForward: Estimate Coefficients in Multivariate Adaptive Frontier Splines during Forward Procedure.

Description

Usage

Value

Arguments