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  "Package": "BGGE",
  "Title": "Bayesian Genomic Linear Models Applied to GE Genome Selection",
  "Version": "0.6.6",
  "Date": "2018-10-25",
  "Authors@R": "c(person(\"Italo\", \"Granato\", email = \"italo.granato@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-2093-6810\")),\nperson(\"Luna-Vázquez\", \"Francisco J.\", email = \"frahik@gmail.com \", role = c(\"aut\"), comment = c(ORCID = \"0000-0002-5370-7152\")),\nperson(\"Cuevas\", \"Jaime\", email = \"jaicueva@uqroo.edu.mx\", role = c(\"aut\"), comment = c(ORCID = \"0000-0002-0685-2867\")))",
  "Maintainer": "Italo Granato <italo.granato@gmail.com>",
  "Description": "Application of genome prediction for a continuous\nvariable, focused on genotype by environment (GE) genomic\nselection models (GS). It consists a group of functions that\nhelp to create regression kernels for some GE genomic models\nproposed by Jarquín et al. (2014)\n<doi:10.1007/s00122-013-2243-1> and Lopez-Cruz et al. (2015)\n<doi:10.1534/g3.114.016097>. Also, it computes genomic\npredictions based on Bayesian approaches. The prediction\nfunction uses an orthogonal transformation of the data and\nspecific priors present by Cuevas et al. (2014)\n<doi:10.1534/g3.114.013094>.",
  "URL": "https://github.com/italo-granato/BGGE",
  "BugReports": "https://github.com/italo-granato/BGGE/issues/new",
  "NeedsCompilation": "no",
  "License": "GPL-3",
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  "Repository": "https://italo-granato.r-universe.dev",
  "Date/Publication": "2018-11-13 16:13:20 UTC",
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  "Author": "Italo Granato [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-2093-6810>),\nLuna-Vázquez Francisco J. [aut] (ORCID:\n<https://orcid.org/0000-0002-5370-7152>),\nCuevas Jaime [aut] (ORCID: <https://orcid.org/0000-0002-0685-2867>)",
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