The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

fwlplot: Scatter Plot After Residualizing Using 'fixest' Package

Creates a scatter plot after residualizing using a set of covariates. The residuals are calculated using the 'fixest' package which allows very fast estimation that scales. Details of the (Yule-)Frisch-Waugh-Lovell theorem is given in Basu (2023) <doi:10.48550/arXiv.2307.00369>.

Version: 0.3.0
Imports: data.table, fixest, tinyplot
Suggests: ggplot2
Published: 2024-06-24
DOI: 10.32614/CRAN.package.fwlplot
Author: Kyle Butts ORCID iD [aut, cre]
Maintainer: Kyle Butts <kbutts at uark.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: fwlplot results

Documentation:

Reference manual: fwlplot.pdf

Downloads:

Package source: fwlplot_0.3.0.tar.gz
Windows binaries: r-devel: fwlplot_0.3.0.zip, r-release: fwlplot_0.3.0.zip, r-oldrel: fwlplot_0.3.0.zip
macOS binaries: r-release (arm64): fwlplot_0.3.0.tgz, r-oldrel (arm64): fwlplot_0.3.0.tgz, r-release (x86_64): fwlplot_0.3.0.tgz, r-oldrel (x86_64): fwlplot_0.3.0.tgz
Old sources: fwlplot archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fwlplot to link to this page.

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.