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<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>Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS
Tool</dc:title>
  <dc:title>R package rMVP version 1.4.6</dc:title>
  <dc:subject>CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture)</dc:subject>
  <dc:description>A memory-efficient, visualize-enhanced, parallel-accelerated Genome-Wide Association Study (GWAS) tool. It can
    (1) effectively process large data, 
    (2) rapidly evaluate population structure, 
    (3) efficiently estimate variance components several algorithms, 
    (4) implement parallel-accelerated association tests of markers three methods, 
    (5) globally efficient design on GWAS process computing, 
    (6) enhance visualization of related information. 
    'rMVP' contains three models GLM (Alkes Price (2006) &lt;DOI:10.1038/ng1847&gt;), MLM (Jianming Yu (2006) &lt;DOI:10.1038/ng1702&gt;) 
    and FarmCPU (Xiaolei Liu (2016) &lt;doi:10.1371/journal.pgen.1005767&gt;); variance components estimation methods EMMAX 
    (Hyunmin Kang (2008) &lt;DOI:10.1534/genetics.107.080101&gt;;), FaSTLMM (method: Christoph Lippert (2011) &lt;DOI:10.1038/nmeth.1681&gt;, 
    R implementation from 'GAPIT2': You Tang and Xiaolei Liu (2016) &lt;DOI:10.1371/journal.pone.0107684&gt; and 
    'SUPER': Qishan Wang and Feng Tian (2014) &lt;DOI:10.1371/journal.pone.0107684&gt;), and HE regression 
    (Xiang Zhou (2017) &lt;DOI:10.1214/17-AOAS1052&gt;).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.3)</dc:relation>
  <dc:relation>Imports: utils, stats, methods, graphics, grDevices, MASS, bigmemory,
RhpcBLASctl</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppProgress, BH, bigmemory</dc:relation>
  <dc:relation>Suggests: knitr, testthat, rmarkdown</dc:relation>
  <dc:creator>Xiaolei Liu &lt;xll198708@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Lilin Yin [aut],
  Haohao Zhang [aut],
  Zhenshuang Tang [aut],
  Jingya Xu [aut],
  Dong Yin [aut],
  Zhiwu Zhang [aut],
  Xiaohui Yuan [aut],
  Mengjin Zhu [aut],
  Shuhong Zhao [aut],
  Xinyun Li [aut],
  Qishan Wang [ctb],
  Feng Tian [ctb],
  Hyunmin Kang [ctb],
  Xiang Zhou [ctb],
  Xiaolei Liu [cre, aut, cph]</dc:contributor>
  <dc:rights>Apache License 2.0</dc:rights>
  <dc:date>2026-03-14</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=rMVP</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.rMVP</dc:identifier>
</oai_dc:dc>