<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>For Implementation of Feed Reduction, Learning Examples, NLP and
Code Management</dc:title>
  <dc:title>R package LilRhino version 1.2.2</dc:title>
  <dc:description>This is for code management functions, NLP tools, a Monty Hall simulator, and for implementing my own variable reduction technique called Feed Reduction. The Feed Reduction technique is not yet published, but is merely a tool for implementing a series of binary neural networks meant for reducing data into N dimensions, where N is the number of possible values of the response variable.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: FNN, stringi, beepr, ggplot2, keras, dplyr, readr, parallel,
tm, e1071, SnowballC, data.table, fastmatch, neuralnet</dc:relation>
  <dc:relation>Suggests: textclean</dc:relation>
  <dc:creator>Travis Barton &lt;travisdatabarton@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Travis Barton (2018) </dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2022-04-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=LilRhino</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.LilRhino</dc:identifier>
</oai_dc:dc>
