Scatter Plot After Residualizing Using 'fixest' Package [R package fwlplot version 0.3.0]

Kyle Butts

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年06月24日

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.html , 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

Reverse dependencies:

Reverse suggests: partialling.out

Linking:

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