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>,
Genotype plus Genotype-Environment (GGE) biplot analysis by Yan & Kang
(2003) <doi:10.1201/9781420040371>, joint Regression Analysis by
Eberhart & Russel (1966)
(<doi:10.2135/cropsci1966.0011183X000600010011x>), ecovalence by
Wricke (1965), genotypic confidence index by Annicchiarico (1992),
Murakami & Cruz's (2004) method <doi:10.12702/1984-7033.v04n01a02>,
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>, geometric
adaptability index described by Shahbazi (2019)
<doi:10.1016/j.scienta.2019.04.047>. 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.
ade4, dendextend, cowplot, dplyr, FWDselect, GGally, ggforce,
ggplot2, ggrepel, gplots, grid, lattice, lme4, lmerTest,
magrittr, methods, progress, rlang, tibble, tidyr, tidyselect

ade4, dendextend, cowplot, dplyr, FWDselect, GGally, ggforce,
ggplot2, ggrepel, grid, lattice, lme4, lmerTest, magrittr,
methods, progress, purrr, rlang, tibble, tidyr, tidyselect (>=
1.0.0)

ade4, dendextend, cowplot, dplyr, FWDselect, GGally, ggforce,
ggplot2, ggrepel, grid, lme4, lmerTest, magrittr, methods,
progress, purrr, rlang, tibble, tidyr, tidyselect (>= 1.0.0)