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To ensure\nreliable results even with outliers or missing data, it\nincludes robust versions of AMMI (Rodrigues et al., 2016,\n) and SREG (Angelini et al.,\n2022, ). Furthermore, the\npackage offers advanced imputation techniques for\nmulti-environment data, covering classical methodologies\n(Arciniegas-Alarcón et al., 2014, )\nand recently published imputation methods for MET data\n(Angelini et al., 2024, ).", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "URL": "https://jangelini.github.io/geneticae/,\nhttps://github.com/jangelini/geneticae", "BugReports": "https://github.com/jangelini/geneticae/issues", "Language": "en-US", "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev make\nlibicu-dev libpng-dev libuv1-dev libx11-dev zlib1g-dev", "Repository": "https://jangelini.r-universe.dev", "Date/Publication": "2026-04-20 22:43:16 UTC", "RemoteUrl": "https://github.com/jangelini/geneticae", "RemoteRef": "HEAD", "RemoteSha": "f008699ae30cb7f1fa35182a4afb98e02723713a", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-17 10:55:38 UTC", "User": "root" }, "Author": 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