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  "Package": "SEA",
  "Type": "Package",
  "Title": "Segregation Analysis",
  "Version": "2.0.1",
  "Date": "2022-3-28",
  "Maintainer": "Yuan-Ming Zhang <soyzhang@mail.hzau.edu.cn>",
  "Contact": "Yuan-Ming Zhang <soyzhang@mail.hzau.edu.cn>",
  "Authors@R": "c( person(\"Jing-Tian\", \"Wang\", role=\"aut\")\n, person(\"Ya-Wen\", \"Zhang\", role=\"aut\")\n, person(\"Yuan-Ming\", \"Zhang\", role=c(\"aut\",\"cre\"), email=\"soyzhang@mail.hzau.edu.cn\",\ncomment=c(ORCID=\"0000-0003-2317-2190\"))\n)",
  "Description": "A few major genes and a series of polygene are responsive\nfor each quantitative trait. Major genes are individually\nidentified while polygene is collectively detected. This is\nmixed major genes plus polygene inheritance analysis or\nsegregation analysis (SEA). In the SEA, phenotypes from a\nsingle or multiple bi-parental segregation populations along\nwith their parents are used to fit all the possible models and\nthe best model of the trait for population phenotypic\ndistributions is viewed as the model of the trait. There are\nfourteen types of population combinations available. Zhang\nYuan-Ming, Gai Jun-Yi, Yang Yong-Hua (2003,\n<doi:10.1017/S0016672303006141>).",
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  "Packaged": {
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  "Author": "Jing-Tian Wang [aut], Ya-Wen Zhang [aut], Yuan-Ming Zhang [aut,\ncre] (<https://orcid.org/0000-0003-2317-2190>)",
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  "Repository": "https://yuanmingzhang.r-universe.dev",
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