{ "_id": "6a34f5863efcd9bda43d2aa5", "Package": "geneticae", "Title": "Statistical Tools for the Analysis of Multi Environment\nAgronomic Trials", "Version": "1.0.1", "Authors@R": "c(\nperson(given = \"Julia\",\nfamily = \"Angelini\",\nrole = c(\"aut\", \"cre\"),\nemail = \"jangelini_93@hotmail.com\",\ncomment = c(ORCID = \"0000-0002-5815-1771\")\n),\nperson(given = \"Marcos\",\nfamily = \"Prunello\",\nrole = c(\"aut\"),\nemail = \"marcosprunello@gmail.com\",\ncomment = c(ORCID = \"0000-0002-9611-527X\")\n),\nperson(given = \"Gerardo\",\nfamily = \"Cervigni\",\nrole = c(\"aut\")\n)\n)", "Description": "Provides tools for the analysis of multi-environment\nagronomic trials, with a specific focus on plant breeding\nexperiments. Implements the Additive Main effects and\nMultiplicative Interaction (AMMI) model (Gauch, 1992,\nISBN:9780444892409) and the Site Regression (SREG) model\n(Cornelius, 1996, ). 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 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": "2026-06-19 07:47:31 UTC", "User": "root" }, "Author": "Julia 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