{ "_id": "6ae5080295ca2370cc8d03f2", "Package": "MRStdCRT", "Type": "Package", "Title": "Model-Robust Standardization in Cluster-Randomized Trials", "Version": "0.1.3", "Authors@R": "c(\nperson(given = \"Jiaqi\", family = \"Tong\", role = \"aut\"),\nperson(given = \"Changjun\", family = \"Li\", role = c(\"aut\",\"cre\"),\nemail = \"changjun.li@yale.edu\"),\nperson(given = \"Xi\", family = \"Fang\", role = \"aut\"),\nperson(given = \"Chao\", family = \"Cheng\", role = \"aut\"),\nperson(given = \"Kenneth M.\", family = \"Lee\", role = \"aut\"),\nperson(given = \"Bingkai\", family = \"Wang\", role = \"aut\"),\nperson(given = \"Fan\", family = \"Li\", role = \"aut\"))", "Description": "Implements model-robust standardization for\ncluster-randomized trials (CRTs). Provides functions that\nstandardize user-specified regression models to estimate\nmarginal treatment effects. The targets include the\ncluster-average and individual-average treatment effects, with\nutilities for variance estimation and example simulation\ndatasets. Methods are described in Li, Tong, Fang, Cheng,\nKahan, and Wang (2025) .\nInverse-cluster-size weighted outcome models are available for\ngeneralized estimating equations and linear or generalized\nlinear mixed models. The outcome models can use common fitting\nweights for both estimands or inverse-cluster-size weights for\nthe cluster-average effect and no weights for the\nindividual-average effect. Inference retains the original\nstandardization framework and paired cluster jackknife. Related\ncluster-size saturated models are described in the arXiv\npreprint by Lee, Harhay, and Li (2026)\n.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "VignetteBuilder": "knitr", "URL": "https://github.com/deckardt98/MRStdCRT", "BugReports": "https://github.com/deckardt98/MRStdCRT/issues", "NeedsCompilation": "no", "Author": "Jiaqi Tong [aut], Changjun Li [aut, cre], Xi Fang [aut], Chao\nCheng [aut], Kenneth M. Lee [aut], Bingkai Wang [aut], Fan Li\n[aut]", "Maintainer": "Changjun Li ", "Config/roxygen2/version": "8.1.1", "Packaged": { "Date": "2026-10-30 21:06:13 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-10-30 19:31:41 UTC", "RemoteUrl": "https://github.com/cran/MRStdCRT", "RemoteRef": "HEAD", "RemoteSha": "54265c8780b8fb9cc88b4c561583b2df826029cd", "_user": "cran", "_type": "src", "_file": "MRStdCRT_0.1.3.tar.gz", "_fileid": "https://r2.ropensci.org/4ab9bcbe11fbc92f48b24ea5bca84321b6a341d08c6f70d0024ddfc27e76d42d", "_filesize": 376561, "_sha256": "4ab9bcbe11fbc92f48b24ea5bca84321b6a341d08c6f70d0024ddfc27e76d42d", "_expires": "2027-02-07T21:11:28.000Z", "_created": "2026-10-30T21:06:13.000Z", "_published": "2026-10-30T21:11:30.703Z", "_upstream": "https://github.com/cran/MRStdCRT", "_status": "success", "_maintainer": { "name": "Changjun Li", "email": "changjun.li@yale.edu" }, "_jobs": [ { "job": 124313058704, "time": 230, "config": 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