# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "metan" in publications use:'
type: software
license: GPL-3.0-only
title: 'metan: Multi Environment Trials Analysis'
version: 1.19.0
doi: 10.1111/2041-210X.13384
identifiers:
- type: doi
  value: 10.32614/CRAN.package.metan
abstract: 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) <https://doi.org/10.2135/cropsci2013.04.0241>,
  Ecovalence by Wricke (1965), Genotype plus Genotype-Environment (GGE) biplot analysis
  by Yan & Kang (2003) <https://doi.org/10.1201/9781420040371>, geometric adaptability
  index by Mohammadi & Amri (2008) <https://doi.org/10.1007/s10681-007-9600-6>, joint
  regression analysis by Eberhart & Russel (1966) <https://doi.org/10.2135/cropsci1966.0011183X000600010011x>,
  genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's (2004) method,
  power law residuals (POLAR) statistics by Doring et al. (2015) <https://doi.org/10.1016/j.fcr.2015.08.005>,
  scale-adjusted coefficient of variation by Doring & Reckling (2018) <https://doi.org/10.1016/j.eja.2018.06.007>,
  stability variance by Shukla (1972) <https://doi.org/10.1038/hdy.1972.87>, weighted
  average of absolute scores by Olivoto et al. (2019a) <https://doi.org/10.2134/agronj2019.03.0220>,
  and multi-trait stability index by Olivoto et al. (2019b) <https://doi.org/10.2134/agronj2019.03.0221>.
  Non-parametric methods includes superiority index by Lin & Binns (1988) <https://doi.org/10.4141/cjps88-018>,
  nonparametric measures of phenotypic stability by Huehn (1990) <https://doi.org/10.1007/BF00024241>,
  TOP third statistic by Fox et al. (1990) <https://doi.org/10.1007/BF00040364>. 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.
authors:
- family-names: Olivoto
  given-names: Tiago
  email: tiagoolivoto@gmail.com
  orcid: https://orcid.org/0000-0002-0241-9636
preferred-citation:
  type: article
  title: 'metan: An R package for multi‐environment trial analysis'
  authors:
  - family-names: Olivoto
    given-names: Tiago
    email: tiagoolivoto@gmail.com
    orcid: https://orcid.org/0000-0002-0241-9636
  - family-names: Lúcio
    given-names: Alessandro Dal’Col
  year: '2020'
  journal: Methods in Ecology and Evolution
  volume: '11'
  issue: '6'
  doi: 10.1111/2041-210X.13384
  start: 783-789
repository: https://nepem-ufsc.r-universe.dev
repository-code: https://github.com/nepem-ufsc/metan
commit: 96bb744cd6d7c5784d2d9a20dec253d126162640
url: https://nepem-ufsc.github.io/metan/
contact:
- family-names: Olivoto
  given-names: Tiago
  email: tiagoolivoto@gmail.com
  orcid: https://orcid.org/0000-0002-0241-9636