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rifexpectile: Density-Free RIF Decompositions for Unconditional Expectiles

Implements a density-free recentered influence function (RIF) regression framework for unconditional expectiles, and embeds it in a two-sample Oaxaca-Blinder decomposition indexed continuously by the expectile level. Unlike quantile-based RIF decompositions, which require estimating an inverse density term at each quantile, the expectile RIF depends only on primitive moments of the outcome distribution and requires no density estimation, no bandwidth selection, and no kernel smoothing. The package provides expectile estimation by iteratively reweighted least squares, closed-form RIF construction, two-sample composition/structure decomposition across a grid of expectile levels, bootstrap-based inference, and plotting methods. The underlying methodology is described in Ndoye (2025), "Semi-Nonparametric Expectile RIF Regression for Distributional Decomposition," presented at the 2025 World Congress of the Econometric Society, Seoul, Korea, <https://www.econometricsociety.org/regional-activities/conference-papers/view/282/943>.

Version: 0.1.1
Depends: R (≥ 4.1.0)
Imports: stats, graphics
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, wooldridge
Published: 2026-08-31
DOI: 10.32614/CRAN.package.rifexpectile
Author: Abdoul Aziz Ndoye [aut, cre]
Maintainer: Abdoul Aziz Ndoye <abdoulaziz1.ndoye at gmail.com>
BugReports: https://github.com/aandoye/rifexpectile/issues
License: MIT + file LICENSE
URL: https://github.com/aandoye/rifexpectile
NeedsCompilation: no
Materials: README
CRAN checks: rifexpectile results

Documentation:

Reference manual: rifexpectile.html , rifexpectile.pdf
Vignettes: Introduction to rifexpectile (source, R code)

Downloads:

Package source: rifexpectile_0.1.1.tar.gz
Windows binaries: r-devel: rifexpectile_0.1.1.zip, r-release: rifexpectile_0.1.1.zip, r-oldrel: rifexpectile_0.1.1.zip
macOS binaries: r-release (arm64): rifexpectile_0.1.1.tgz, r-oldrel (arm64): rifexpectile_0.1.1.tgz, r-release (x86_64): rifexpectile_0.1.1.tgz, r-oldrel (x86_64): rifexpectile_0.1.1.tgz
Old sources: rifexpectile archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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