<?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>Performing Monte Carlo Expectation Maximization Random Forest
Imputation for Biological Data</dc:title>
  <dc:title>R package MERO version 0.1.2</dc:title>
  <dc:description>Perform missing value imputation for biological data using the random forest algorithm, the imputation aim to keep the original mean and standard deviation consistent after imputation.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: missForest, ggpubr, progress, doParallel, foreach</dc:relation>
  <dc:creator>Mohamed Soudy &lt;MohmedSoudy2009@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Mohamed Soudy [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2023-02-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MERO</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MERO</dc:identifier>
</oai_dc:dc>