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>.
Version: |
0.2.0 |
Depends: |
R (≥ 4.1.0) |
Imports: |
glue, lifecycle, rlang, fixest, lfe, stats, tinyplot |
Suggests: |
tinytest, tinysnapshot, knitr, rmarkdown, palmerpenguins, tinytable, fwlplot, tsibble, units, purrr, fontquiver, rsvg, svglite |
Published: |
2025-10-17 |
DOI: |
10.32614/CRAN.package.partialling.out (may not be active yet) |
Author: |
Marc Bosch-Matas
[aut, cre],
Christian Testa [rev] (Christian reviewed the package (v. 0.1.1) for
rOpenSci, see
<https://github.com/ropensci/software-review/issues/703>),
Kyle Butts [rev] (Kyle reviewed the package (v. 0.1.1) for rOpenSci,
see <https://github.com/ropensci/software-review/issues/703>),
Adam Loy [rev] (Adam reviewed the package (v. 0.1.1) for rOpenSci, see
<https://github.com/ropensci/software-review/issues/703>) |
Maintainer: |
Marc Bosch-Matas <mboschmatas at gmail.com> |
BugReports: |
https://github.com/ropensci/partialling.out/issues/ |
License: |
GPL (≥ 3) |
URL: |
https://docs.ropensci.org/partialling.out/,
https://github.com/ropensci/partialling.out/ |
NeedsCompilation: |
no |
Materials: |
README, NEWS |
CRAN checks: |
partialling.out results |