{ "_id": "6adb3f6309e55c8400208a9a", "Package": "TransHDM", "Title": "High-Dimensional Mediation Analysis via Transfer Learning", "Version": "1.1.3", "Authors@R": "c(\nperson(given=\"Huer\", family=\"Gao\", email=\"26111020050@m.fudan.edu.cn\", role=c(\"aut\", \"cre\",\"cph\")),\nperson(given=\"Lulu\", family=\"Pan\", email=\"25111020061@m.fudan.edu.cn\", role = c(\"aut\",\"cph\")),\nperson(given=\"Yongfu\", family=\"Yu\", role = c(\"ctb\",\"cph\")),\nperson(given=\"Guoyou\", family=\"Qin\", role=c(\"ctb\",\"cph\"))\n)", "Description": "Provides a framework for high-dimensional mediation\nanalysis using transfer learning. The main function TransHDM()\nintegrates large-scale source data to improve the detection\npower of potential mediators in small-sample target studies. It\naddresses data heterogeneity via transfer regularization and\ndebiased estimation while controlling the false discovery rate.\nThe package also includes utilities for data generation\n(gen_simData_homo(), gen_simData_hetero()), baseline methods\nsuch as lasso() and dblasso(), sure independence screening via\nSIS(), and model diagnostics through source_detection(). The\nmethodology is described in Pan et al. (2025)\n.", "License": "GPL (>= 3)", "URL": "https://github.com/Gaohuer/TransHDM", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "Language": "en-US", "VignetteBuilder": "knitr", "LazyData": "true", "Config/roxygen2/version": "8.0.0", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://gaohuer.r-universe.dev", "Date/Publication": "2026-08-24 08:11:34 UTC", "RemoteUrl": "https://github.com/gaohuer/transhdm", "RemoteRef": "HEAD", "RemoteSha": "b6fabb41c5e0a1bead03505f7b2520f10240f9de", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-23 11:00:34 UTC", "User": "root" }, "Author": "Huer Gao [aut, cre, cph],\nLulu Pan [aut, cph],\nYongfu Yu [ctb, cph],\nGuoyou Qin [ctb, cph]", "Maintainer": "Huer Gao <26111020050@m.fudan.edu.cn>", "_user": "gaohuer", "_type": "src", "_file": "TransHDM_1.1.3.tar.gz", "_fileid": "https://r2.ropensci.org/5015eea9f9bad9ca84f6389fd6d0c206642d06d9502de3191945a623db45d7a3", "_filesize": 460455, "_sha256": 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