RF_predictor

This function predicts the expected value based on a set of inputs.

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

RF_predictor function

<dl><dt>forest</dt>
<dd><code>list</code> containing the individual Efficiency Analysis Trees.</dd>
<dt>xn</dt>
<dd>Row indexes in data.</dd></dl>

Arguments

Random Forest + Efficiency Analysis Trees Predictor — RF_predictor

<dl>

<dt>forest</dt>
<dd><code>list</code> containing the individual Efficiency Analysis Trees.</dd>


<dt>xn</dt>
<dd>Row indexes in data.</dd>

</dl>

RF_predictor: Random Forest + Efficiency Analysis Trees Predictor

Description

Usage

Value

Arguments