{ "_id": "6a55cc81ff0138dec5d690e8", "Package": "DRsurvCRT", "Type": "Package", "Title": "Doubly-Robust Estimation for Survival Outcomes in\nCluster-Randomized Trials", "Version": "0.0.1", "Authors@R": "c(\nperson(given = \"Xi\", family = \"Fang\", role = c(\"aut\",\"cre\"),email = \"x.fang@yale.edu\"),\nperson(given = \"Fan\", family = \"Li\", role = c(\"aut\"), email = \"fan.li@example.edu\")\n)", "Description": "Cluster-randomized trials (CRTs) assign treatment to\ngroups rather than individuals, so valid analyses must\ndistinguish cluster-level and individual-level effects and\ndefine estimands within a potential-outcomes framework. This\npackage supports right-censored survival outcomes for both\nsingle-state (binary) and multi-state settings. For\nsingle-state outcomes, it provides estimands based on\nstage-specific survival contrasts (SPCE) and restricted mean\nsurvival time (RMST). For multi-state outcomes, it provides\nSPCE as well as a generalized win-based restricted mean\ntime-in-favor estimand (RMT-IF). The package implements doubly\nrobust estimators that accommodate covariate-dependent\ncensoring and remain consistent if either the outcome model or\nthe censoring model is correctly specified. Users can choose\nmarginal Cox or gamma-frailty Cox working models for nuisance\nestimation, and inference is supported via\nleave-one-cluster-out jackknife variance and confidence\ninterval estimation. Methods are described in Fang et al.\n(2025) \"Estimands and doubly robust estimation for\ncluster-randomized trials with survival outcomes\"\n.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-14 05:39:27 UTC", "User": "root" }, "Author": "Xi Fang [aut, cre], Fan Li [aut]", "Maintainer": "Xi Fang ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-12-30 19:00:06 UTC", "RemoteUrl": "https://github.com/cran/DRsurvCRT", "RemoteRef": "HEAD", "RemoteSha": "aa436d0f01cfb0ec59176851622a10bb802bf323", "_user": "cran", "_type": "src", "_file": "DRsurvCRT_0.0.1.tar.gz", "_fileid": "https://r2.ropensci.org/b60b9ceda1761dc68d8f29e1e2927dd082406e3df5de54c3bc124ee07d22464e", "_filesize": 243836, "_sha256": "b60b9ceda1761dc68d8f29e1e2927dd082406e3df5de54c3bc124ee07d22464e", "_expires": "2026-10-22T05:43:27.000Z", "_created": "2026-07-14T05:39:27.000Z", "_published": 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