{
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  "Package": "betaBayes",
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  "Title": "Bayesian Beta Regression",
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  "Date": "2022-05-08",
  "Authors@R": "c(person(\"Haiming\", \"Zhou\", role = c(\"aut\", \"cre\",\"cph\"),\nemail = \"haiming2019@gmail.com\"),\nperson(\"Xianzheng\", \"Huang\", role = \"aut\") )",
  "Description": "Provides a class of Bayesian beta regression models for\nthe analysis of continuous data with support restricted to an\nunknown finite support. The response variable is modeled using\na four-parameter beta distribution with the mean or mode\nparameter depending linearly on covariates through a link\nfunction. When the response support is known to be (0,1), the\nabove class of models reduce to traditional (0,1) supported\nbeta regression models. Model choice is carried out via the\nlogarithm of the pseudo marginal likelihood (LPML), the\ndeviance information criterion (DIC), and the Watanabe-Akaike\ninformation criterion (WAIC). See Zhou and Huang (2022)\n<doi:10.1016/j.csda.2021.107345>.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-01 11:36:22 UTC",
    "User": "root"
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  "Author": "Haiming Zhou [aut, cre, cph], Xianzheng Huang [aut]",
  "Maintainer": "Haiming Zhou <haiming2019@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2022-05-09 11:00:02 UTC",
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