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  "Title": "Choice of Omega in the BAC Algorithm",
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  "Date": "2025-08-28",
  "Authors@R": "c(person(\"Denis\", \"Talbot\", role = c(\"aut\", \"cre\"),\nemail = \"denis.talbot@fmed.ulaval.ca\",\ncomment = \"main author of original code and maintainer\"),\nperson(\"Genevieve\", \"Lefebvre\", role = \"aut\",\nemail = \"lefebvre.gen@uqam.ca\",\ncomment = \"revision of original code\"),\nperson(\"Juli\", \"Atherton\", role = \"aut\",\nemail = \"atherton.juli@uqam.ca\",\ncomment = \"revision of original code\"))",
  "Author": "Denis Talbot [aut, cre] (main author of original code and\nmaintainer), Genevieve Lefebvre [aut] (revision of original\ncode), Juli Atherton [aut] (revision of original code)",
  "Maintainer": "Denis Talbot <denis.talbot@fmed.ulaval.ca>",
  "Description": "The Bayesian Adjustment for Confounding (BAC) algorithm\n(Wang et al., 2012) can be used to estimate the causal effect\nof a continuous exposure on a continuous outcome. This package\nprovides an approximate sensitivity analysis of BAC with\nregards to the hyperparameter omega. BACprior also provides\nfunctions to guide the user in their choice of an appropriate\nomega value. The method is based on Lefebvre, Atherton and\nTalbot (2014).",
  "License": "GPL (>=2)",
  "Encoding": "UTF-8",
  "Repository": "https://detal9.r-universe.dev",
  "Date/Publication": "2025-08-28 20:46:57 UTC",
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    "BACprior.CV",
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      "title": "Choice of the Hyperparameter Omega in the Bayesian Adjustment for Confounding (BAC) Algorithm",
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        "BACprior"
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      "title": "Sensitivity of the Bayesian Adjustment for Confounding Algorithm to the Value of the Hyperparameter Omega When the Outcome and the Exposure Are Continuous Variables.",
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