R Observatory: Metrics for LorenzRegression version 2.3.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LorenzRegression

2.3.2Package record

Lorenz and Penalized Lorenz Regressions

1packages depend

3.2Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Alexandre JacquemainCRAN page ↗GitHub ↗Issues ↗

Inference for the Lorenz and penalized Lorenz regressions. More broadly, the package proposes functions to assess inequality and graphically represent it. The Lorenz Regression procedure is introduced in Heuchenne and Jacquemain (2022) doi:10.1016/j.csda.2021.107347 and in Jacquemain, A., C. Heuchenne, and E. Pircalabelu (2024) doi:10.1214/23-EJS2200. The implementation is described in Jacquemain and Heuchenne (2026) doi:10.18637/jss.v117.i06.

Changes in 2.3.2

**Minor Changes** : Added references to the accompanying paper in the Journal of Statistical Software (<doi:10.18637/jss.v117.i06>), in the CITATION file, the DESCRIPTION and the documentation.

From NEWS.md in the release

Install

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

install.packages("LorenzRegression", 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("AlJacq/LorenzRegression")

Development version from AlJacq/LorenzRegression. 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-lorenzregression

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-LorenzRegression

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-LorenzRegression

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: 6.0 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 4 earlier changesHide 4 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.3.2

READMEYes · 165 wordsVignettesNoNEWSYes · 100% structured · mentions 2.3.2Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 45 (11 internal)includes a package overview page
Examples that run: 43%13 run in a plain check · 17 hold no code
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 22%

How these are measured

Downloads

3.2K

CRAN downloads in the past year

Rank #9,934 · ~9/day · ~264/mo

Releases R versions

Daily download trend is not available in this view yet.

50930 days

98390 days

3.2K1 year

Compare downloads with other packages →

Also on384 r2u7 autocran

How downloads are counted

Repository

aljacq/lorenzregression ↗Account: AlJacq

2Stars

1Forks

1Open issues

0Open PRs

0Releases

254Commits

1Commit identities

254 commits · Last activity 2026-09-28 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 4
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-06-11 · 12026-07-07 · 2

How these are measured

PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/aljacq/lorenzregression on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Docs source (1)

README.Rmd

CRAN release process (3)

cran-comments.mdrevdep/CRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing LorenzRegression adds 55 packages (25 with compiled code, 43 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, GA 4.8 MB.

Depends (1)

R >= 3.3.1

Imports (13)

statsggplot2 parsnipbootrsampleparalleldoParallel foreachMASSGA Rearrangement progress Rcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (1)

rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

glorenz

How these are counted

Code & Tests

Datasets

People & History

People (2)

Alexandre Jacquemain

Author, Maintainer since 1.0.0 (2023)

Xingjie Shi

Contributor

Author of an R implementation of the FABS algorithm available at https://github.com/shuanggema/Fabs, of which function…

Releases (7)

Pick two releases to compare their code metrics.

2.3.2Latest
record
2026-09-28 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
2.3.1
record
2026-02-12 · diff ↗
2.3.0
record
2025-08-20 · diff ↗
2.2.0
record
2025-06-27 · diff ↗ ·
added 1 export
PLR.fit
R
R 4.5.0 released · 2025-04-11
2.1.0
record
2024-10-11 · diff ↗
2.0.0
record
2024-09-09 · diff ↗ ·
removed 4 exports
PLR.BIC, PLR.normalize, PLR.wrap, pattern:^[[:alpha:]]+

added 3 exports
Lorenz.boot.combine, diagnostic.PLR, ineqExplained
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.0.0
record
2023-02-28
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-02-28
Total releases: 7 / 3 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.3.1
Bundled data: 4.3 KB / 1 file
Download size: 82 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("LorenzRegression")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v117.i06.

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 LorenzRegression version 2.3.2 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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