<?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>Linear, Logistic and Generalized Linear Models Regressions for
the EnvWAS/EWAS Approach</dc:title>
  <dc:title>R package Elja version 1.0.0</dc:title>
  <dc:description>Tool for Environment-Wide Association Studies (EnvWAS / EWAS) 
    which are repeated analysis. It includes three functions. One function for
    linear regression, a second for logistic regression and a last one for
    generalized linear models.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.3)</dc:relation>
  <dc:relation>Imports: stats, devtools, dplyr, ggplot2, MASS</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, mlbench</dc:relation>
  <dc:creator>Marwan El Homsi &lt;marwan.el-homsi@inserm.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Marwan El Homsi [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-5782-6757&gt;, affiliation: Desbrest
    Institute of Epidemiology and Public Health, Univ Montpellier,
    INSERM, Montpellier, France.),
  Isabella Annesi-Maesano [ctb, ths, fnd] (ORCID:
    &lt;https://orcid.org/0000-0002-6340-9300&gt;, affiliation1: Desbrest
    Institute of Epidemiology and Public Health, Univ Montpellier,
    INSERM, Montpellier, France., affiliation2: Department of Allergic
    and Respiratory Diseases, Montpellier University Hospital,
    Montpellier.)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2023-07-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=Elja</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.Elja</dc:identifier>
</oai_dc:dc>
