{ "_id": "6a1ee904b401979e73411c46", "Package": "tmle3mopttx", "Title": "Targeted Maximum Likelihood Estimation of the Mean under Optimal\nIndividualized Treatment", "Version": "1.0.0", "Authors@R": "c(\nperson(\"Ivana\", \"Malenica\", email = \"imalenica@berkeley.edu\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-7404-8088\")),\nperson(\"Jeremy\", \"Coyle\", email = \"jeremy.coyle@gmail.com\",\nrole = c(\"aut\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-9874-6649\")),\nperson(\"Mark\", \"van der Laan\", email = \"laan@berkeley.edu\",\nrole = c(\"aut\", \"ths\")),\nperson(\"Haodong\", \"Li\", email = \"haodong_li@berkeley.edu\",\nrole = \"ctb\")\n)", "Description": "This package estimates the optimal individualized\ntreatment rule for the categorical treatment using Super\nLearner (sl3). In order to avoid nested cross-validation, it\nuses split-specific estimates of Q and g to estimate the rule\nas described by Coyle et al. In addition, it provides the\nTargeted Maximum Likelihood estimates of the mean performance\nusing CV-TMLE under such estimated rules. This is an adapter\npackage for use with the tmle3 framework and the tlverse\nsoftware ecosystem for Targeted Learning.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "LazyLoad": "yes", "Remotes": [ "github::tlverse/delayed", "github::tlverse/origami", "github::tlverse/sl3", "github::tlverse/tmle3", "github::tlverse/tmle3shift" ], "URL": "https://tlverse.org/tmle3mopttx", "BugReports": "https://github.com/tlverse/tmle3mopttx/issues", "VignetteBuilder": "knitr", "RoxygenNote": "7.2.0", "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libuv1-dev\nlibxml2-dev", "Repository": "https://tlverse.r-universe.dev", "Date/Publication": "2022-08-06 03:03:11 UTC", "RemoteUrl": "https://github.com/tlverse/tmle3mopttx", "RemoteRef": "HEAD", "RemoteSha": "3c0e8437af88ca8c54fcec1e953652feaf6c9003", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-19 10:33:38 UTC", "User": "root" }, "Author": "Ivana Malenica [aut, cre] (ORCID:\n),\nJeremy Coyle [aut, cph] 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