metan function

Multi-Environment Trial Analysis

Multi-Environment Trial Analysis

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/