{ "_id": "6ace27cfa14063b82c3b0815", "Package": "bandsfdp", "Title": "Compute Upper Prediction Bounds on the FDP in Competition-Based\nSetups", "Version": "1.1.0", "Authors@R": "c(\nperson(\"Arya\", \"Ebadi\", , \"aeba3842@uni.sydney.edu.au\", role = c(\"aut\", \"cre\")),\nperson(\"Dong\", \"Luo\", , \"dluo7139@uni.sydney.edu.au\", role = \"aut\"),\nperson(\"Jack\", \"Freestone\", , \"jfre0619@uni.sydney.edu.au\", role = \"aut\"),\nperson(\"William Stafford\", \"Noble\", , \"william-noble@uw.edu\", role = \"aut\"),\nperson(\"Uri\", \"Keich\", , \"uri.keich@sydney.edu.au\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-3209-5011\"))\n)", "Description": "Implements functions that calculate upper prediction\nbounds on the false discovery proportion (FDP) in the list of\ndiscoveries returned by competition-based setups, implementing\nEbadi et al. (2022) . Such setups include\ntarget-decoy competition (TDC) in computational mass\nspectrometry and the knockoff construction in linear regression\n(note this package typically uses the terminology of TDC).\nIncluded is the standardized (TDC-SB) and uniform (TDC-UB)\nbound on TDC's FDP, and the simultaneous standardized and\nuniform bands. Requires pre-computed Monte Carlo statistics\navailable at . This\ndata can be downloaded by running the command\n'devtools::install_github(\"uni-Arya/fdpbandsdata\")' in R and\nrestarting R after installation. The size of this data is\nroughly 81Mb.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.1.2", "URL": "https://github.com/uni-Arya/bandsfdp", "BugReports": "https://github.com/uni-Arya/bandsfdp/issues", "Repository": "https://uni-arya.r-universe.dev", "Date/Publication": "2023-05-12 05:45:43 UTC", "RemoteUrl": "https://github.com/uni-arya/bandsfdp", "RemoteRef": "HEAD", "RemoteSha": "b4921eda567fcfabd4cc7e2727c2bf2718dd3056", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-13 12:17:19 UTC", "User": "root" }, "Author": "Arya Ebadi [aut, cre],\nDong Luo [aut],\nJack Freestone [aut],\nWilliam Stafford Noble [aut],\nUri Keich [aut] (ORCID: )", "Maintainer": "Arya Ebadi ", "_user": "uni-arya", "_type": "src", "_file": "bandsfdp_1.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/7430e73987601b8f545bc5c43edc3e4eb14a6e76c6cc30bdd6800e309afb35b4", "_filesize": 152103, "_sha256": 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