Type: Package
Package: metan
Title: Multi Environment Trials Analysis
Version: 1.10.0
Authors@R: 
    person(given = "Tiago",
           family = "Olivoto",
           role = c("aut", "cre", "cph"),
           email = "tiagoolivoto@gmail.com",
           comment = c(ORCID = "0000-0002-0241-9636"))
Maintainer: Tiago Olivoto <tiagoolivoto@gmail.com>
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) <doi:10.2135/cropsci2013.04.0241>,
    Ecovalence by Wricke (1965), Genotype plus Genotype-Environment (GGE)
    biplot analysis by Yan & Kang (2003) <doi:10.1201/9781420040371>,
    geometric adaptability index by Mohammadi & Amri (2008)
    <doi:10.1007/s10681-007-9600-6>, joint regression analysis by Eberhart
    & Russel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>,
    genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's
    (2004) method <doi:10.12702/1984-7033.v04n01a02>, power law residuals
    (POLAR) statistics by Doring et al. (2015)
    <doi:10.1016/j.fcr.2015.08.005>, scale-adjusted coefficient of
    variation by Doring & Reckling (2018) <doi:10.1016/j.eja.2018.06.007>,
    stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>,
    weighted average of absolute scores by Olivoto et al. (2019a)
    <doi:10.2134/agronj2019.03.0220>, and multi-trait stability index by
    Olivoto et al. (2019b) <doi:10.2134/agronj2019.03.0221>.
    Non-parametric methods includes superiority index by Lin & Binns
    (1988) <doi:10.4141/cjps88-018>, nonparametric measures of phenotypic
    stability by Huehn (1990)
    <https://link.springer.com/article/10.1007/BF00024241>, TOP third
    statistic by Fox et al. (1990) <doi: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.
License: GPL-3
URL: https://github.com/TiagoOlivoto/metan
BugReports: https://github.com/TiagoOlivoto/metan/issues
Depends: R (>= 3.5.0)
Imports: cowplot, dplyr (>= 1.0.0), GGally, ggforce, ggplot2 (>=
        3.3.0), ggrepel, grid, lme4, lmerTest, magrittr, mathjaxr,
        methods, progress, purrr, rlang (>= 0.1.2), tibble, tidyr,
        tidyselect (>= 1.0.0)
Suggests: DT, knitr, rmarkdown, roxygen2
VignetteBuilder: knitr
RdMacros: mathjaxr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-23 00:26:32 UTC; tiago
Author: Tiago Olivoto [aut, cre, cph] (<https://orcid.org/0000-0002-0241-9636>)
Repository: CRAN
Date/Publication: 2020-10-24 04:30:02 UTC
