BNsample

AID348 sample (training) dataset with 24 burden numbers as explanatory variables.
Demonstrates in a timely manner <code><a rd-options="" href="/link/epx?package=EPX&version=1.0.4" data-mini-rdoc="EPX::epx">epx</a></code>, the phalanx-formation
algorithm in EPX and associated functions <code><a rd-options="" href="/link/summary.epx?package=EPX&version=1.0.4" data-mini-rdoc="EPX::summary.epx">summary.epx</a></code>,
<code><a rd-options="" href="/link/predict.epx?package=EPX&version=1.0.4" data-mini-rdoc="EPX::predict.epx">predict.epx</a></code> , <code><a rd-options="" href="/link/plot.epx?package=EPX&version=1.0.4" data-mini-rdoc="EPX::plot.epx">plot.epx</a></code>, <code><a rd-options="" href="/link/cv.epx?package=EPX&version=1.0.4" data-mini-rdoc="EPX::cv.epx">cv.epx</a></code>,
<code><a rd-options="" href="/link/hit.curve?package=EPX&version=1.0.4" data-mini-rdoc="EPX::hit.curve">hit.curve</a></code>.

datasets

An ensemble method for the statistical detection of
a rare class in two-class classification problems. The method uses an
ensemble of classifiers where the constituent
models of the ensemble use disjoint subsets (phalanxes) of explanatory
variables. We provide an implementation of the phalanx-formation algorithm.
Please see Tomal et al. (2015) <doi:10.1214/14-AOAS778>,
Tomal et al. (2016) <doi:10.1021/acs.jcim.5b00663>, and
Tomal et al. (2019) <arXiv:1706.06971> for more details.

Jabed Tomal

Ensemble of Phalanxes

Grace Hsu

William Welch

Marcia Wang

BNsample function

A dataframe with 1000 rows and 25 variables:<dl class="dl-horizontal">
<dt>WBN</dt><dd>Burden numbers descriptor set with 24 variables.</dd>
<dt>y</dt><dd>The response variable where 1 denotes active and 0 inactive.</dd>
</dl>

Format

AID348 sample (training) dataset with 24 burden numbers as explanatory variables.
Demonstrates in a timely manner <code><a rd-options='' href='epx'>epx</a></code>, the phalanx-formation
algorithm in EPX and associated functions <code><a rd-options='' href='summary.epx'>summary.epx</a></code>,
<code><a rd-options='' href='predict.epx'>predict.epx</a></code> , <code><a rd-options='' href='plot.epx'>plot.epx</a></code>, <code><a rd-options='' href='cv.epx'>cv.epx</a></code>,
<code><a rd-options='' href='hit.curve'>hit.curve</a></code>.

AID348 sample (training) data with Burden Numbers for testing the EPX package — BNsample

A dataframe with 1000 rows and 25 variables:<dl class='dl-horizontal'>
<dt>WBN</dt><dd>Burden numbers descriptor set with 24 variables.</dd>
<dt>y</dt><dd>The response variable where 1 denotes active and 0 inactive.</dd>
</dl>

BNsample: AID348 sample (training) data with Burden Numbers for testing the EPX package

Description

Usage

Arguments

Format

References