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]

partialling.out_0.2.0.tar.gz
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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://ropensci.r-universe.dev', '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 126 downloads 2 exports 18 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK164
pkgdown docsOK135
source / vignettesOK195
linux-release-x86_64OK137
macos-devel-arm64OK102
macos-release-arm64OK212
windows-develOK107
windows-releaseOK137
windows-oldrelOK105
wasm-releaseOK122

Exports:partialling_outplot_partial_residuals

Dependencies:clidreamerrfixestFormulagluelatticelfelifecycleMatrixnlmenumDerivRcpprlangsandwichstringmagictinyplotxtablezoo

partialling_out

Rendered frompartialling_out.Rmdusingknitr::rmarkdownon Feb 14 2026.

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