Package: fwlplot 0.3.0

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>.

Authors:Kyle Butts [aut, cre]

fwlplot_0.3.0.tar.gz
fwlplot_0.3.0.zip(r-4.7)fwlplot_0.3.0.zip(r-4.6)fwlplot_0.3.0.zip(r-4.5)
fwlplot_0.3.0.tgz(r-4.6-any)fwlplot_0.3.0.tgz(r-4.5-any)
fwlplot_0.3.0.tar.gz(r-4.7-any)fwlplot_0.3.0.tar.gz(r-4.6-any)
fwlplot_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fwlplot/json (API)
NEWS

# Install 'fwlplot' in R:

install.packages('fwlplot', repos = c('https://kylebutts.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.81 score 13 scripts 598 downloads 3 exports 12 dependencies

Last updated from:74d08938ec. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	103
source / vignettes	OK	143
linux-release-x86_64	OK	114
macos-release-arm64	OK	69
macos-oldrel-arm64	OK	83
windows-devel	OK	76
windows-release	OK	79
windows-oldrel	OK	69
wasm-release	OK	88