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qmj: Quality Scores for the Russell 3000

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.

Version: 0.2.1
Depends: R (≥ 3.5.0)
Imports: quantmod (≥ 0.4-3), dplyr, reticulate, rlang
Suggests: testthat
Published: 2025-01-15
DOI: 10.32614/CRAN.package.qmj
Author: Anthoney Tsou [aut], Eugene Choe [aut], David Kane [aut], Ryan Kwon [aut], Yanrong Song [aut, cre], Zijie Zhu [aut]
Maintainer: Yanrong Song <yrsong129 at gmail.com>
BugReports: https://github.com/anttsou/qmj/issues
License: GPL-3
NeedsCompilation: no
CRAN checks: qmj results

Documentation:

Reference manual: qmj.pdf
Vignettes: qmj (source, R code)

Downloads:

Package source: qmj_0.2.1.tar.gz
Windows binaries: r-devel: qmj_0.2.1.zip, r-release: qmj_0.2.1.zip, r-oldrel: qmj_0.2.1.zip
macOS binaries: r-release (arm64): qmj_0.2.1.tgz, r-oldrel (arm64): qmj_0.2.1.tgz, r-release (x86_64): qmj_0.2.1.tgz, r-oldrel (x86_64): qmj_0.2.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.