metan-package: Multi-Environment Trial Analysis
In metan: Multi Environment Trials Analysis
metan-package R Documentation
Multi-Environment Trial Analysis
Description
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/
metan documentation built on March 7, 2023, 5:34 p.m.
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| metan-package | R Documentation |
Multi-Environment Trial Analysis
Description
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/
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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