Statistical Tools for the Analysis of Multi Environment Agronomic Trials

Data from multi environment agronomic trials, which are often carried out by plant breeders, can be analyzed with the tools offered by this package such as the Additive Main effects and Multiplicative Interaction model or 'AMMI' ('Gauch' 1992, ISBN:9780444892409) and the Site Regression model or 'SREG' ('Cornelius' 1996, ). Since these methods present a poor performance under the presence of outliers and missing values, this package includes robust versions of the 'AMMI' model ('Rodrigues' 2016, ), and also imputation techniques specifically developed for this kind of data ('Arciniegas-Alarcón' 2014, ).


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0.1.0 by Julia Angelini, a month ago

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Authors: Julia Angelini [aut, cre] , Marcos Prunello [aut] , Gerardo Cervigni [aut]

Documentation:   PDF Manual  

GPL-2 license

Imports stats, GGEBiplots, ggforce, ggplot2, scales, MASS, pcaMethods, rrcov, dplyr, bcv, missMDA, calibrate, graphics, agridat, reshape2, matrixStats, tidyr, prettydoc

Suggests spelling, knitr, rmarkdown, testthat

See at CRAN