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geneticae  

Statistical Tools for the Analysis of Multi Environment Agronomic Trials
View on CRAN: Click here


Download and install geneticae package within the R console
Install from CRAN:
install.packages("geneticae")

Install from Github:
library("remotes")
install_github("cran/geneticae")

Install by package version:
library("remotes")
install_version("geneticae", "0.4.0")



Attach the package and use:
library("geneticae")
Maintained by
Julia Angelini
[Scholar Profile | Author Map]
First Published: 2021-09-16
Latest Update: 2022-07-20
Description:
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-Alarc
How to cite:
Julia Angelini (2021). geneticae: Statistical Tools for the Analysis of Multi Environment Agronomic Trials. R package version 0.4.0, https://cran.r-project.org/web/packages/geneticae. Accessed 09 May. 2025.
Previous versions and publish date:
0.1.0 (2021-09-16 09:10), 0.2.0 (2021-12-20 16:50), 0.3.0 (2022-02-09 23:30)
Other packages that cited geneticae R package
View geneticae citation profile
Other R packages that geneticae depends, imports, suggests or enhances
Complete documentation for geneticae
Functions, R codes and Examples using the geneticae R package
Some associated functions: EM.AMMI . GGEPlot . GGEmodel . Gabriel.Calinski . WGabriel . imputation . plrv . rAMMI . 
Some associated R codes: EM_AMMI.R . GGE_Model.R . GGE_Plot.R . GabrielEigen.R . W_GabrielEigen.R . dataDoc.R . globals.R . impute.R . rAMMI.R .  Full geneticae package functions and examples
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