select_mtry

This function selects the number of inputs for a split in Random Forest.

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

select_mtry function

<dl><dt>s_mtry</dt>
<dd>Select number of inputs. It could be: <code>"BRM"</code>, <code>"DEA1"</code>, <code>"DEA2"</code>, <code>"DEA3"</code> or <code>"DEA4"</code> or any integer.</dd>
<dt>t</dt>
<dd>Node which is being split.</dd>
<dt>nX</dt>
<dd>Number of inputs in data.</dd>
<dt>nY</dt>
<dd>Number of outputs in data.</dd></dl>

Arguments

Select Possible Inputs in Split. — select_mtry

<dl>

<dt>s_mtry</dt>
<dd>Select number of inputs. It could be: <code>"BRM"</code>, <code>"DEA1"</code>, <code>"DEA2"</code>, <code>"DEA3"</code> or <code>"DEA4"</code> or any integer.</dd>


<dt>t</dt>
<dd>Node which is being split.</dd>


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


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

</dl>

Data engineering and BI courses are free!

select_mtry: Select Possible Inputs in Split.

Description

Usage

Value

Arguments