Package: rifexpectile
Title: Density-Free RIF Decompositions for Unconditional Expectiles
Version: 0.1.1
Authors@R: 
    person("Abdoul Aziz", "Ndoye", email = "abdoulaziz1.ndoye@gmail.com",
           role = c("aut", "cre"))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, wooldridge
VignetteBuilder: knitr
Config/testthat/edition: 3
URL: https://github.com/aandoye/rifexpectile
BugReports: https://github.com/aandoye/rifexpectile/issues
Config/roxygen2/version: 8.1.0
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-31 19:51:12 UTC; aziz
Author: Abdoul Aziz Ndoye [aut, cre]
Maintainer: Abdoul Aziz Ndoye <abdoulaziz1.ndoye@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-31 22:00:21 UTC
Built: R 4.6.0; ; 2026-09-01 00:52:07 UTC; unix
