{ "_id": "6acee5f6d9de2f3f33fc7f9a", "Package": "pssmooth", "Type": "Package", "Title": "Flexible and Efficient Evaluation of Principal\nSurrogates/Treatment Effect Modifiers", "Version": "1.0.4", "Authors@R": "c(person(\"Michal\", \"Juraska\", email = \"mjuraska@fredhutch.org\", role = c(\"aut\", \"cre\")), person(\"Sebastien\", \"Haneuse\", role = c(\"ctb\", \"cph\"), comment = \"author of the included tps() code from the osDesign package\"), person(\"Takumi\", \"Saegusa\", role = c(\"ctb\", \"cph\"), comment = \"author of the included tps() code from the osDesign package\"), person(\"Nilanjan\", \"Chatterjee\", role = c(\"ctb\", \"cph\"), comment = \"author of the included tps() code from the osDesign package\"), person(\"Norman\", \"Breslow\", role = c(\"ctb\", \"cph\"), comment = \"author of the included tps() code from the osDesign package\"))", "BugReports": "https://github.com/mjuraska/pssmooth/issues", "Description": "Implements estimation and testing procedures for\nevaluating an intermediate biomarker response as a principal\nsurrogate of a clinical response to treatment (i.e., principal\nstratification effect modification analysis), as described in\nJuraska M, Huang Y, and Gilbert PB (2020), Inference on\ntreatment effect modification by biomarker response in a\nthree-phase sampling design, Biostatistics, 21(3): 545-560\n. The methods avoid the\nrestrictive 'placebo structural risk' modeling assumption\ncommon to past methods and further improve robustness by the\nuse of nonparametric kernel smoothing for biomarker density\nestimation. A randomized controlled two-group clinical efficacy\ntrial is assumed with an ordered categorical or continuous\nunivariate biomarker response measured at a fixed timepoint\npost-randomization and with a univariate baseline surrogate\nmeasure allowed to be observed in only a subset of trial\nparticipants with an observed biomarker response (see the\nflexible three-phase sampling design in the paper for details).\nBootstrap-based procedures are available for pointwise and\nsimultaneous confidence intervals and testing of four relevant\nhypotheses. Summary and plotting functions are provided for\nestimation results.", "License": "GPL (>= 3)", "URL": "https://github.com/mjuraska/pssmooth", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "cmake make", "Repository": "https://mjuraska.r-universe.dev", "Date/Publication": "2026-10-13 23:36:57 UTC", "RemoteUrl": "https://github.com/mjuraska/pssmooth", "RemoteRef": "HEAD", "RemoteSha": "2ce5120c0b423555fc018845ddf31247f3cf26af", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-14 02:10:23 UTC", "User": "root" }, "Author": "Michal Juraska [aut, cre],\nSebastien Haneuse [ctb, cph] (author of the included tps() code from\nthe osDesign package),\nTakumi Saegusa [ctb, cph] (author of the included tps() code from the\nosDesign package),\nNilanjan Chatterjee [ctb, cph] (author of the included tps() code from\nthe osDesign package),\nNorman Breslow [ctb, cph] (author of the included tps() code from the\nosDesign package)", "Maintainer": "Michal Juraska ", "_user": 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