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  "Title": "Multi-Purpose Core Subset Selection",
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  "Date": "2023-08-31",
  "Authors@R": "c(person(\"Herman\", \"De Beukelaer\", email = \"herman.debeukelaer@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Guy\", \"Davenport\", email = \"daveneti@gmail.com\", role = \"aut\"),\nperson(\"Veerle\", \"Fack\", email = \"veerle.fack@ugent.be\", role = \"ths\"))",
  "Description": "Core Hunter is a tool to sample diverse, representative\nsubsets from large germplasm collections, with minimum\nredundancy. Such so-called core collections have applications\nin plant breeding and genetic resource management in general.\nCore Hunter can construct cores based on genetic marker data,\nphenotypic traits or precomputed distance matrices, optimizing\none of many provided evaluation measures depending on the\nprecise purpose of the core (e.g. high diversity,\nrepresentativeness, or allelic richness). In addition, multiple\nmeasures can be simultaneously optimized as part of a weighted\nindex to bring the different perspectives closer together. The\nCore Hunter library is implemented in Java 8 as an open source\nproject (see <http://www.corehunter.org>).",
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    "User": "root"
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    "objective",
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      "title": "Initialize Core Hunter data.",
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      "topics": [
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      ]
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      "topics": [
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    },
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      ]
    },
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      "title": "Create Core Hunter objective.",
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      ]
    },
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      "title": "Create Core Hunter phenotype data from data frame or file.",
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      ]
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      "title": "Read delimited file.",
      "topics": [
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      "topics": [
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      ]
    },
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      "topics": [
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      ]
    },
    {
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