<?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>Multi Environment Trials Analysis</dc:title>
  <dc:title>R package metan version 1.19.0</dc:title>
  <dc:subject>CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture)</dc:subject>
  <dc:description>Performs stability analysis of multi-environment trial data
    using parametric and non-parametric methods. Parametric methods
    includes Additive Main Effects and Multiplicative Interaction (AMMI)
    analysis by Gauch (2013) &lt;doi:10.2135/cropsci2013.04.0241&gt;, Ecovalence
    by Wricke (1965), Genotype plus Genotype-Environment (GGE) biplot
    analysis by Yan &amp; Kang (2003) &lt;doi:10.1201/9781420040371&gt;, geometric
    adaptability index by Mohammadi &amp; Amri (2008)
    &lt;doi:10.1007/s10681-007-9600-6&gt;, joint regression analysis by Eberhart
    &amp; Russel (1966) &lt;doi:10.2135/cropsci1966.0011183X000600010011x&gt;,
    genotypic confidence index by Annicchiarico (1992), Murakami &amp; Cruz's
    (2004) method, power law residuals (POLAR) statistics by Doring et al.
    (2015) &lt;doi:10.1016/j.fcr.2015.08.005&gt;, scale-adjusted coefficient of
    variation by Doring &amp; Reckling (2018) &lt;doi:10.1016/j.eja.2018.06.007&gt;,
    stability variance by Shukla (1972) &lt;doi:10.1038/hdy.1972.87&gt;,
    weighted average of absolute scores by Olivoto et al. (2019a)
    &lt;doi:10.2134/agronj2019.03.0220&gt;, and multi-trait stability index by
    Olivoto et al. (2019b) &lt;doi:10.2134/agronj2019.03.0221&gt;.
    Non-parametric methods includes superiority index by Lin &amp; Binns
    (1988) &lt;doi:10.4141/cjps88-018&gt;, nonparametric measures of phenotypic
    stability by Huehn (1990) &lt;doi:10.1007/BF00024241&gt;, TOP third
    statistic by Fox et al. (1990) &lt;doi:10.1007/BF00040364&gt;. Functions for
    computing biometrical analysis such as path analysis, canonical
    correlation, partial correlation, clustering analysis, and tools for
    inspecting, manipulating, summarizing and plotting typical
    multi-environment trial data are also provided.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: dplyr (&gt;= 1.0.0), GGally, ggforce, ggplot2 (&gt;= 3.3.0),
ggrepel, lme4, lmerTest, magrittr, mathjaxr, methods,
patchwork, purrr, rlang (&gt;= 0.4.11), tibble, tidyr, tidyselect
(&gt;= 1.0.0)</dc:relation>
  <dc:relation>Suggests: DT, knitr, rmarkdown, roxygen2, rstudioapi</dc:relation>
  <dc:creator>Tiago Olivoto &lt;tiagoolivoto@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Tiago Olivoto [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-0241-9636&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-04-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=metan</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.metan</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
