<?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>Predictive Power of Linear and Tree Modeling</dc:title>
  <dc:title>R package pomodoro version 3.8.0</dc:title>
  <dc:description>Runs generalized and multinominal logistic (GLM and MLM) models, as well as random forest (RF), Bagging (BAG), and Boosting (BOOST). This package prints out to predictive outcomes easy for the selected data and data splits.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: tibble, caret, gbm, stats, randomForest, pROC, ipred</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Seyma Kalay &lt;seymakalay@hotmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Seyma Kalay &lt;seymakalay@hotmail.com&gt;</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2022-03-26</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=pomodoro</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.pomodoro</dc:identifier>
</oai_dc:dc>