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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>).
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Package details |
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| Author | 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] |
| Maintainer | Julia Angelini <jangelini_93@hotmail.com> |
| License | GPL-2 |
| Version | 1.0.1 |
| URL | https://jangelini.github.io/geneticae/ https://github.com/jangelini/geneticae |
| Package repository | View on CRAN |
| Installation |
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