{ "_id": "6a1ee2f0b401979e73410dfe", "Package": "qmj", "Title": "Quality Scores for the Russell 3000", "Version": "0.2.1", "Authors@R": "c(\nperson(\"Anthoney\", \"Tsou\", email = \"anttsou@gmail.com\", role = \"aut\"),\nperson(\"Eugene\", \"Choe\", email = \"ec7@williams.edu\", role = \"aut\"),\nperson(\"David\", \"Kane\", email = \"dave.kane@gmail.com\", role = \"aut\"),\nperson(\"Ryan\", \"Kwon\", email = \"rynkwn@gmail.com\", role = \"aut\"),\nperson(\"Yanrong\", \"Song\", email = \"yrsong129@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Zijie\", \"Zhu\", email = \"zijie.miller.zhu@gmail.com\", role = \"aut\"))", "Description": "Produces quality scores for each of the US companies from\nthe Russell 3000, following the approach described in \"Quality\nMinus Junk\" (Asness, Frazzini, & Pedersen, 2013)\n.\nThe package includes datasets for users who wish to view the\nmost recently uploaded quality scores. It also provides tools\nto automatically gather relevant financials and stock price\ninformation, allowing users to update their data and customize\ntheir universe for further analysis.", "License": "GPL-3", "BugReports": "https://github.com/anttsou/qmj/issues", "LazyData": "true", "LazyDataCompression": "xz", "RoxygenNote": "7.3.2", "Encoding": "UTF-8", "Config/reticulate": "list(packages = list(list(package = \"yfinance\")))", "Config/pak/sysreqs": "libpng-dev libssl-dev python3", "Repository": "https://anttsou.r-universe.dev", "Date/Publication": "2025-02-18 21:33:08 UTC", "RemoteUrl": "https://github.com/anttsou/qmj", "RemoteRef": "HEAD", "RemoteSha": "7d2d5ea3af8fcc174d1f7756e504bdf8754a532a", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-20 06:39:30 UTC", "User": "root" }, "Author": "Anthoney Tsou [aut],\nEugene Choe [aut],\nDavid Kane [aut],\nRyan Kwon [aut],\nYanrong Song [aut, cre],\nZijie Zhu [aut]", "Maintainer": "Yanrong Song ", "MD5sum": 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