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, . License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) 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 Repository: https://aandoye.r-universe.dev Date/Publication: 2026-08-31 19:48:36 UTC RemoteUrl: https://github.com/aandoye/rifexpectile RemoteRef: HEAD RemoteSha: 355f9acb2393615c539fc0aaed427a21cfb38ffe NeedsCompilation: no Packaged: 2026-09-30 12:47:29 UTC; root Author: Abdoul Aziz Ndoye [aut, cre] Maintainer: Abdoul Aziz Ndoye