Statistical Tools for the Analysis of Multi Environment Agronomic Trials R package geneticae version 1.0.1 CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture) CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) 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>). Software 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 Julia Angelini <jangelini_93@hotmail.com> Comprehensive R Archive Network (CRAN) Julia Angelini [aut, cre] (ORCID: <https://orcid.org/0000-0002-5815-1771>), Marcos Prunello [aut] (ORCID: <https://orcid.org/0000-0002-9611-527X>), Gerardo Cervigni [aut] GPL-2 2026-04-21 application/tgz https://CRAN.R-project.org/package=geneticae doi:10.32614/CRAN.package.geneticae en-US