Package: qmj
Title: Quality Scores for the Russell 3000
Version: 0.2.1
Authors@R: c(
    person("Anthoney", "Tsou", email = "anttsou@gmail.com", role = "aut"),
    person("Eugene", "Choe", email = "ec7@williams.edu", role = "aut"),
    person("David", "Kane", email = "dave.kane@gmail.com", role = "aut"),
    person("Ryan", "Kwon", email = "rynkwn@gmail.com", role = "aut"),
    person("Yanrong", "Song", email = "yrsong129@gmail.com", role = c("aut", "cre")),
    person("Zijie", "Zhu", email = "zijie.miller.zhu@gmail.com", role = "aut"))
Description: Produces quality scores for each of the US companies from
        the Russell 3000, following the approach described in "Quality
        Minus Junk" (Asness, Frazzini, & Pedersen, 2013)
        <http://www.aqr.com/library/working-papers/quality-minus-junk>.
        The package includes datasets for users who wish to view the
        most recently uploaded quality scores. It also provides tools
        to automatically gather relevant financials and stock price
        information, allowing users to update their data and customize
        their universe for further analysis.
Imports: quantmod(>= 0.4-3), dplyr, reticulate, rlang
Depends: R (>= 3.5.0)
Suggests: testthat
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: 2026-06-19 10:45:20 UTC; root
Author: Anthoney Tsou [aut],
  Eugene Choe [aut],
  David Kane [aut],
  Ryan Kwon [aut],
  Yanrong Song [aut, cre],
  Zijie Zhu [aut]
Maintainer: Yanrong Song <yrsong129@gmail.com>