CEAT_WAM

Weighted Additive Model for a Convexified Efficiency Analysis Trees model.

Functions are provided to determine production frontiers and technical
efficiency measures through non-parametric techniques based upon regression trees.
The package includes code for estimating radial input, output, directional and
additive measures, plotting graphical representations of the scores and the production
frontiers by means of trees, and determining rankings of importance of input variables
in the analysis. Additionally, an adaptation of Random Forest by a set of individual
Efficiency Analysis Trees for estimating technical efficiency is also included. More
details in: <doi:10.1016/j.eswa.2020.113783>.

Miriam Esteve

Efficiency Analysis Trees

Víctor España

Juan Aparicio

Xavier Barber

CEAT_WAM function

<dl><dt>j</dt>
<dd>Number of DMUs.</dd>
<dt>scores</dt>
<dd><code>matrix</code>. Empty matrix for scores.</dd>
<dt>x_k</dt>
<dd><code>data.frame</code>. Set of input variables.</dd>
<dt>y_k</dt>
<dd><code>data.frame</code> Set of output variables.</dd>
<dt>atreeTk</dt>
<dd><code>matrix</code> Set of "a" Pareto-coordinates.</dd>
<dt>ytreeTk</dt>
<dd><code>matrix</code> Set of predictions.</dd>
<dt>nX</dt>
<dd>Number of inputs.</dd>
<dt>nY</dt>
<dd>Number of outputs.</dd>
<dt>N_leaves</dt>
<dd>Number of leaf nodes.</dd>
<dt>weights</dt>
<dd><code>"MIP"</code> for Measure of Inefficiency Proportion or <code>"RAM"</code> for Range Adjusted Measure of Inefficiency.</dd></dl>

Arguments

Weighted Additive Model for a Convexified Efficiency Analysis Trees model — CEAT_WAM

<dl>

<dt>j</dt>
<dd>Number of DMUs.</dd>


<dt>scores</dt>
<dd><code>matrix</code>. Empty matrix for scores.</dd>


<dt>x_k</dt>
<dd><code>data.frame</code>. Set of input variables.</dd>


<dt>y_k</dt>
<dd><code>data.frame</code> Set of output variables.</dd>


<dt>atreeTk</dt>
<dd><code>matrix</code> Set of "a" Pareto-coordinates.</dd>


<dt>ytreeTk</dt>
<dd><code>matrix</code> Set of predictions.</dd>


<dt>nX</dt>
<dd>Number of inputs.</dd>


<dt>nY</dt>
<dd>Number of outputs.</dd>


<dt>N_leaves</dt>
<dd>Number of leaf nodes.</dd>


<dt>weights</dt>
<dd><code>"MIP"</code> for Measure of Inefficiency Proportion or <code>"RAM"</code> for Range Adjusted Measure of Inefficiency.</dd>

</dl>

CEAT_WAM: Weighted Additive Model for a Convexified Efficiency Analysis Trees model

Description

Usage

Value

Arguments