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geneticae
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]
[Scholar Profile | Author Map]
All associated links for this package
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
Previous versions and publish date:
Other packages that cited geneticae R package
View geneticae citation profile
Other R packages that geneticae depends,
imports, suggests or enhances
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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