{ "_id": "6aae6c6d3d719c1f8407c92d", "Package": "cohetsurr", "Type": "Package", "Title": "Assessing Complex Heterogeneity in Surrogacy", "Version": "2.0", "Date": "2025-04-10", "Authors@R": "c(person(\"Rebecca\", \"Knowlton\", email = \"rknowlton@utexas.edu\", role = c(\"aut\")), person(\"Layla\", \"Parast\", email = \"parast@austin.utexas.edu\", role = c(\"aut\", \"cre\")))", "Description": "Provides functions to assess complex heterogeneity in the\nstrength of a surrogate marker with respect to multiple\nbaseline covariates, in either a randomized treatment setting\nor observational setting. For a randomized treatment setting,\nthe functions assess and test for heterogeneity using both a\nparametric model and a semiparametric two-step model. More\ndetails for the randomized setting are available in: Knowlton,\nR., Tian, L., & Parast, L. (2025). \"A General Framework to\nAssess Complex Heterogeneity in the Strength of a Surrogate\nMarker,\" Statistics in Medicine, 44(5), e70001\n. For an observational setting,\nfunctions in this package assess complex heterogeneity in the\nstrength of a surrogate marker using meta-learners, with\noptions for different base learners. More details for the\nobservational setting will be available in the future in:\nKnowlton, R., Parast, L. (2025) \"Assessing Surrogate\nHeterogeneity in Real World Data Using Meta-Learners.\" A\ntutorial for this package can be found at\n.", "License": "GPL", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-19 11:01:38 UTC", "User": "root" }, "Author": "Rebecca Knowlton [aut], Layla Parast [aut, cre]", "Maintainer": "Layla Parast ", "Config/pak/sysreqs": "make", "Repository": "https://laylaparast.r-universe.dev", "Date/Publication": "2025-04-11 02:10:02 UTC", "RemoteUrl": "https://github.com/cran/cohetsurr", "RemoteRef": "HEAD", "RemoteSha": "bb573f94e6f4a07a7e2d90a9598f683867eea6ad", "_user": "laylaparast", "_type": "src", "_file": "cohetsurr_2.0.tar.gz", "_fileid": "https://r2.ropensci.org/d3e41e7e8e24156ce70a19eaf13ead182d62b46b6b4e73d5bfba871780a422cd", "_filesize": 271142, "_sha256": "d3e41e7e8e24156ce70a19eaf13ead182d62b46b6b4e73d5bfba871780a422cd", "_expires": "2026-12-28T11:05:14.000Z", "_created": "2026-09-19T11:01:38.000Z", "_published": "2026-09-19T11:05:16.897Z", 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