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  "Title": "Bounds on Causal Effects with Mixed Informative and\nNon-Informative Missingness",
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  "Description": "Implements influence-function-based estimators for bounds\non causal effects (ATE, composite ATE, separable direct effect)\nwhen outcomes are missing due to an unknown mixture of\ninformative and non-informative missingness. Supports\nuser-specified estimands, assumptions, sensitivity parameters,\ntipping point analysis, and multiplier bootstrap over a grid of\nparameters. Nuisance functions are estimated via SuperLearner\nwith cross-fitting.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "Repository": "https://mrubinst757.r-universe.dev",
  "Date/Publication": "2026-03-19 19:42:52 UTC",
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  "Author": "Max Rubinstein [aut, cre],\nDenis Agniel [aut]",
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