<?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>Genomic Breeding Tools: Genetic Variance Prediction and
Cross-Validation</dc:title>
  <dc:title>R package PopVar version 1.3.2</dc:title>
  <dc:subject>CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture)</dc:subject>
  <dc:description>The main attribute of 'PopVar' is the prediction of genetic variance in bi-parental populations, 
    from which the package derives its name. 'PopVar' contains a set of functions that use phenotypic and genotypic
    data from a set of candidate parents to 1) predict the mean, genetic variance, and superior progeny value of all, 
    or a defined set of pairwise bi-parental crosses, and 2) perform cross-validation to estimate genome-wide prediction 
    accuracy of multiple statistical models. More details are available in Mohammadi, Tiede, and Smith (2015, &lt;doi:10.2135/cropsci2015.01.0030&gt;). 
    A dataset 'think_barley.rda' is included for reference and examples.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: BGLR, qtl, rrBLUP, stats, utils, methods, parallel</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Jeffrey Neyhart &lt;neyhartje@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Tyler Tiede [aut],
  Jeffrey Neyhart [aut, ctb, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-1991-5310&gt;),
  Mohsen Mohammadi [ctb] (ORCID: &lt;https://orcid.org/0000-0002-4536-1200&gt;),
  Kevin Smith [ctb] (ORCID: &lt;https://orcid.org/0000-0001-8253-3326&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-10-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=PopVar</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.PopVar</dc:identifier>
</oai_dc:dc>
