metan provides functions for performing the most used analyses in the evaluation of multi-environment trials, including, but not limited to:
ANOVA-based stability statistics;
AMMI-based stability indexes;
BLUP-based stability indexes;
Cross-validation procedures for AMMI-family and BLUP models;
GGE biplot analysis;
Estimation using AMMI considering different numbers of interaction principal component axes;
Graphics tools for generating biplots;
Nonparametric stability statistics;
Variance components and genetic parameters in mixed-effect models;
Within-environment analysis of variance;
metan also provides functions for biometrical analysis such as path analysis, canonical correlation, partial correlation, clustering analysis, as well as tools for summarizing and plotting data.
A complete guide may be found at https://tiagoolivoto.github.io/metan/
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