<?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>Training Set Determination for Genomic Selection</dc:title>
  <dc:title>R package TSDFGS version 2.0</dc:title>
  <dc:subject>CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture)</dc:subject>
  <dc:description>We propose an optimality criterion to determine the required training set, r-score, which is derived directly from Pearson's correlation between the genomic estimated breeding values and phenotypic values of the test set &lt;doi:10.1007/s00122-019-03387-0&gt;. This package provides two main functions to determine a good training set and its size.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: dplyr, ggplot2, latex2exp, lifecycle, parallel, Rcpp (&gt;=
1.0.8.3)</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppEigen</dc:relation>
  <dc:creator>Jen-Hsiang Ou &lt;jen-hsiang.ou@imbim.uu.se&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jen-Hsiang Ou [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-9305-2931&gt;),
  Po-Ya Wu [aut] (ORCID: &lt;https://orcid.org/0000-0002-7342-2867&gt;),
  Chen-Tuo Liao [aut, ths] (ORCID:
    &lt;https://orcid.org/0000-0001-9777-3701&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2022-06-07</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=TSDFGS</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.TSDFGS</dc:identifier>
</oai_dc:dc>
