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  "Title": "Learn-as-You-Go Adaptive Trial Optimization",
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  "Authors@R": "c(\nperson(\"Ante\", \"Bing\", email = \"abing@bu.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Minh\", \"Bui\", role = \"aut\"),\nperson(\"Jingyu\", \"Cui\", role = \"aut\"),\nperson(\"Mike\", \"Bostock\", role = \"cph\",\ncomment = \"Author of the bundled D3 v7 library, inst/js/d3.v7.min.js\"))",
  "Description": "Optimizes interventions for adaptive \"Learn-As-you-GO\"\n(LAGO) trials, in which the intervention package is updated\nbetween stages using accumulating data. Given data from\ncompleted stages, lago_optimization() fits the outcome model\n(via 'stats' generalized linear models or, for clustered\ndesigns, cluster-robust variance) and computes the cost-optimal\nrecommended intervention for the next stage that is expected to\nreach a target mean outcome and/or a desired statistical power.\nget_confidence_set() constructs confidence sets for the optimal\nintervention, and visualize_cost() and lago_report() summarize\nthe cost surface and results. Methods are described in Nevo,\nLok and Spiegelman (2021) <doi:10.1214/20-aos1978> and Bing,\nSpiegelman, Nevo and Lok (2025) <doi:10.1093/biomtc/ujaf061>.",
  "License": "GPL-3",
  "Copyright": "This package bundles the D3 v7 library\n(inst/js/d3.v7.min.js), which is ISC-licensed and Copyright\n2010-2023 Mike Bostock. See inst/COPYRIGHTS and\ninst/js/d3-LICENSE. All other code is Copyright the LAGO\nauthors under GPL-3.",
  "URL": "https://correspondmerchant.github.io/LAGO-R-Package/,\nhttps://github.com/correspondMerchant/LAGO-R-Package",
  "BugReports": "https://github.com/correspondMerchant/LAGO-R-Package/issues",
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  "Repository": "https://correspondmerchant.r-universe.dev",
  "Date/Publication": "2026-10-23 16:33:37 UTC",
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  "Packaged": {
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    "User": "root"
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  "Author": "Ante Bing [aut, cre],\nMinh Bui [aut],\nJingyu Cui [aut],\nMike Bostock [cph] (Author of the bundled D3 v7 library,\ninst/js/d3.v7.min.js)",
  "Maintainer": "Ante Bing <abing@bu.edu>",
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