{ "_id": "6a0f7053acfb0bcc41c5f493", "Package": "gfoRmulaICE", "Type": "Package", "Title": "Parametric Iterative Conditional Expectation G-Formula", "Version": "1.1.1", "Authors@R": "c(person(\"Zhaoxi\", \"Cheng\", role = c(\"aut\"),\nemail = \"zcheng@hsph.harvard.edu\"),\nperson(\"Jing\", \"Li\", role = c(\"aut\", \"cre\"),\nemail = \"jing_li@hsph.harvard.edu\"),\nperson(\"Sophia\", \"Rein\", role = c(\"aut\"),\nemail = \"srein@hsph.harvard.edu\"),\nperson(\"Ryan\", \"O'Dea\", role = c(\"aut\"),\nemail = \"ryanodea@hsph.harvard.edu\"),\nperson(\"Sean\", \"McGrath\", role = c(\"aut\"),\nemail = \"sean_mcgrath@g.harvard.edu\"),\nperson(\"Lan\", \"Wen\", role = c(\"aut\"),\nemail = \"lan.wen@uwaterloo.ca\"),\nperson(\"Miguel A.\", \"Hernán\", role = c(\"aut\"),\nemail = \"mhernan@hsph.harvard.edu\"),\nperson(\"2024 The President and Fellows of Harvard College\",\nrole = c(\"cph\")))", "Description": "Implements iterative conditional expectation (ICE)\nestimators of the plug-in g-formula (Wen, Young, Robins, and\nHernán (2020) ). Both singly robust\nand doubly robust ICE estimators based on parametric models are\navailable. The package can be used to estimate survival curves\nunder sustained treatment strategies (interventions) using\nlongitudinal data with time-varying treatments, time-varying\nconfounders, censoring, and competing events. The interventions\ncan be static or dynamic, and deterministic or stochastic\n(including threshold interventions). 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