Package: partialling.out 0.2.0

Marc Bosch-Matas

partialling.out: Residuals from Partial Regressions

Creates a data frame with the residuals of partial regressions of the main explanatory variable and the variable of interest. This method follows the Frisch-Waugh-Lovell theorem, as explained in Lovell (2008) <doi:10.3200/JECE.39.1.88-91>.

Authors:Marc Bosch-Matas [aut, cre], Christian Testa [rev], Kyle Butts [rev], Adam Loy [rev]

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partialling.out.pdf |partialling.out.html✨
partialling.out/json (API)
NEWS

# Install 'partialling.out' in R:
install.packages('partialling.out', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org'))

Reviews:rOpenSci Software Review #703

Bug tracker:https://github.com/ropensci/partialling.out/issues

Pkgdown/docs site:https://docs.ropensci.org

On CRAN:

Conda:

econometricsfixed-effects

5.34 score 2 stars 8 scripts 7 downloads 2 exports 18 dependencies

Last updated from:6c1939e6da (on main). Checks:10 OK. Indexed: yes.

TargetResultTotal timeArtifact
linux-devel-x86_64OK166
pkgdown docsOK164
source / vignettesOK298
linux-release-x86_64OK183
macos-release-arm64OK99
macos-oldrel-arm64OK135
windows-develOK136
windows-releaseOK141
windows-oldrelOK132
wasm-releaseOK129

Exports:partialling_outplot_partial_residuals

Dependencies:clidreamerrfixestFormulagluelatticelfelifecycleMatrixnlmenumDerivRcpprlangsandwichstringmagictinyplotxtablezoo

partialling_out

Rendered frompartialling_out.Rmdusingknitr::rmarkdownon Oct 20 2025.

Last update: 2025-08-21
Started: 2025-03-20