<?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>Performance Metrics in Predictive Modeling</dc:title>
  <dc:title>R package PerMat version 0.1.0</dc:title>
  <dc:description>Performance metric provides different performance measures like mean squared error, root mean square error, mean absolute deviation, mean absolute percentage error etc. of a fitted model. These can provide a way for forecasters to quantitatively compare the performance of competing models. For method details see (i) Pankaj Das (2020) &lt;http://krishi.icar.gov.in/jspui/handle/123456789/44138&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Pankaj Das &lt;pankaj.das2@icar.gov.in&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Pankaj Das [aut, cre] (ORCID: &lt;https://orcid.org/0000-0003-1672-2502&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=PerMat/LICENSE)</dc:rights>
  <dc:date>2024-06-14</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=PerMat</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.PerMat</dc:identifier>
</oai_dc:dc>