<?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>Genetic Association Analysis</dc:title>
  <dc:title>R package gaawr2 version 0.0.8</dc:title>
  <dc:description>This is a companion to Henry-Stewart talk by Zhao (2026, &lt;doi:10.69645/FRFQ9519&gt;),
 which gathers information, metadata and scripts to showcase modern genetic analysis -- ranging from testing
 of polymorphic variant(s) for Hardy-Weinberg equilibrium, association with traits using genetic and statistical
 models, Bayesian implementation, power calculation in study design, and genetic annotation. It also covers
 R integration with the Linux environment, GitHub, package creation and web applications. The earlier version
 by Zhao (2009, &lt;doi:10.69645/DCRY5578&gt;) provides a brief introduction to these topics.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: dplyr, gap, gap.datasets, ggplot2, survival, Rdpack</dc:relation>
  <dc:relation>Suggests: BLR, BGLR, biomaRt, bookdown, Cairo, EnsDb.Hsapiens.v75,
ensembldb, GMMAT, HardyWeinberg, haplo.stats, htmltools, httr,
httpuv, jsonlite, kableExtra, knitr, MCMCglmm, plumber,
powerEQTL, R2jags, regress, Rsamtools, SNPassoc, testthat,
tidyr</dc:relation>
  <dc:creator>Jing Hua Zhao &lt;jinghuazhao@hotmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jing Hua Zhao [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-1463-5870&gt;, ORCID:
    &lt;https://orcid.org/0000-0003-4930-3582&gt;),
  Benjamin Altmann [ctb],
  Brian Ripley [ctb]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=gaawr2/LICENSE)</dc:rights>
  <dc:date>2026-06-17</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=gaawr2</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.gaawr2</dc:identifier>
</oai_dc:dc>
