doi:10.1201/9780367802226>). 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, <doi:10.1093/bioinformatics/btv533>), and also imputation techniques specifically developed for this kind of data ('Arciniegas-Alarcón' 2014, <doi:10.2478/bile-2014-0006>).">

geneticae: Statistical Tools for the Analysis of Multi Environment Agronomic Trials (original) (raw)

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, <doi:10.1201/9780367802226>). 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, <doi:10.1093/bioinformatics/btv533>), and also imputation techniques specifically developed for this kind of data ('Arciniegas-Alarcón' 2014, <doi:10.2478/bile-2014-0006>).

Version: 0.4.0
Depends: R (≥ 2.12.0)
Imports: stats, GGEBiplots, ggforce, ggplot2, scales, MASS, pcaMethods, rrcov, dplyr, missMDA, calibrate, graphics, reshape2, matrixStats, tidyr, prettydoc, rlang
Suggests: agridat, spelling, knitr, rmarkdown, testthat
Published: 2022-07-20
DOI: 10.32614/CRAN.package.geneticae
Author: Julia Angelini ORCID iD [aut, cre], Marcos Prunello ORCID iD [aut], Gerardo Cervigni [aut]
Maintainer: Julia Angelini <jangelini_93 at hotmail.com>
BugReports: https://github.com/jangelini/geneticae/issues
License: GPL-2
URL: https://jangelini.github.io/geneticae/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
In views: Agriculture, MissingData
CRAN checks: geneticae results

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