The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

geneticae: Statistical Tools for the Analysis of Multi Environment Agronomic Trials

Provides tools for the analysis of multi-environment agronomic trials, with a specific focus on plant breeding experiments. Implements the Additive Main effects and Multiplicative Interaction (AMMI) model (Gauch, 1992, ISBN:9780444892409) and the Site Regression (SREG) model (Cornelius, 1996, <doi:10.1201/9780367802226>). To ensure reliable results even with outliers or missing data, it includes robust versions of AMMI (Rodrigues et al., 2016, <doi:10.1093/bioinformatics/btv533>) and SREG (Angelini et al., 2022, <doi:10.1080/15427528.2022.2051217>). Furthermore, the package offers advanced imputation techniques for multi-environment data, covering classical methodologies (Arciniegas-Alarcón et al., 2014, <doi:10.2478/bile-2014-0006>) and recently published imputation methods for MET data (Angelini et al., 2024, <doi:10.1007/s10681-024-03344-z>).

Version: 1.0.1
Depends: R (≥ 2.12.0)
Imports: stats, ggforce, ggplot2, scales, MASS, pcaMethods, rrcov, dplyr, missMDA, tidyr, rlang, corpcor
Suggests: agridat, spelling, knitr, rmarkdown, patchwork, testthat
Published: 2026-04-21
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/, https://github.com/jangelini/geneticae
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
In views: Agriculture, MissingData
CRAN checks: geneticae results

Documentation:

Reference manual: geneticae.html , geneticae.pdf
Vignettes: How to use the geneticae package (source, R code)
How to use the geneticae Shiny App (source, R code)

Downloads:

Package source: geneticae_1.0.1.tar.gz
Windows binaries: r-release: geneticae_1.0.1.zip, r-oldrel: geneticae_1.0.1.zip
macOS binaries: r-release (arm64): geneticae_1.0.1.tgz, r-oldrel (arm64): geneticae_1.0.1.tgz, r-release (x86_64): geneticae_1.0.1.tgz, r-oldrel (x86_64): geneticae_1.0.1.tgz
Old sources: geneticae archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=geneticae to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.