R Observatory: Metrics for rifexpectile version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

rifexpectile

0.1.1Package record

Density-Free RIF Decompositions for Unconditional Expectiles

0packages depend

549downloads / year

87.2%test coverage

13/13flavors OK

Overview

About

Maintained by Abdoul Aziz NdoyeCRAN page ↗GitHub ↗Issues ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("rifexpectile", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("aandoye/rifexpectile")

Development version from aandoye/rifexpectile. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-rifexpectile

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-rifexpectile

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-rifexpectile

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.3 min · r-release-macos-x86_64

Status changes

OK13 OKNow
OK7 OK2026-08-31

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMEYes · 140 wordsVignettesYes · 1 · evaluation depends on the environmentNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 7
Examples that run: 100%6 run in a plain check
Exported functions with examples: 100%
Documented parameters: 98%
Return-value docs: 100%
Help pages citing references: 14%

Vignettes (1)

Introduction to rifexpectile HTML

How these are measured

Downloads

549

CRAN downloads in the past year

Rank #23,630 · ~2/day · ~46/mo

Releases R versions

Daily download trend is not available in this view yet.

22730 days

54990 days

5491 year

Compare downloads with other packages →

Also on11 r2u2 autocran

How downloads are counted

Repository

aandoye/rifexpectile ↗Account: aandoye

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-08-31

Responsiveness

not measured

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/aandoye/rifexpectile on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Reproducibility and dev environment (1)

data-raw/

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing rifexpectile adds no packages beyond those that come with R.

Depends (1)

R >= 4.1.0

Imports (2)

statsgraphics

LinkingTo (0)

none

Suggests (4)

testthat knitr rmarkdown wooldridge

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Abdoul Aziz Ndoye

Author, Maintainer since 0.1.0 (2026)

Releases (2)

Pick two releases to compare their code metrics.

0.1.1Latest
record
2026-08-31 · current release · diff ↗
0.1.0
record
2026-08-30
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-30
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 122 KB / 1 file
Download size: 204 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rifexpectile")

Format

Ndoye, A. A. (2026). rifexpectile: Density-Free RIF Decompositions for Unconditional Expectiles (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.rifexpectile

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rifexpectile version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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