R Observatory: Metrics for CoDaImpact version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

CoDaImpact

0.1.0Package record

Interpreting CoDa Regression Models

0packages depend

2.4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Lukas DargelCRAN page ↗GitHub ↗Website ↗Issues ↗

Provides methods for interpreting CoDa (Compositional Data) regression models along the lines of "Pairwise share ratio interpretations of compositional regression models" (Dargel and Thomas-Agnan 2024) doi:10.1016/j.csda.2024.107945. The new methods include variation scenarios, elasticities, elasticity differences and share ratio elasticities. These tools are independent of log-ratio transformations and allow an interpretation in the original space of shares. 'CoDaImpact' is designed to be used with the 'compositions' package and its ecosystem.

Install

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

install.packages("CoDaImpact", 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("LukeCe/CoDaImpact")

Development version from LukeCe/CoDaImpact. 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-codaimpact

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-CoDaImpact

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-CoDaImpact

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: 1.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-05-11
WARNING12 OK, 1 WARNING2026-05-10
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 122 wordsVignettesYes · 2 · dynamicNEWSNoCitation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 23 (6 internal)includes a package overview page
Examples that run: 100%9 run in a plain check
Exported functions with examples: 89%
Documented parameters: 100%
Return-value docs: 89%
Help pages citing references: 39%

Vignettes (2)

How these are measured

Downloads

2.4K

CRAN downloads in the past year

Rank #18,024 · ~7/day · ~200/mo

Releases R versions

Daily download trend is not available in this view yet.

29830 days

71790 days

2.4K1 year

Compare downloads with other packages →

Also on82 r2u8 autocran

How downloads are counted

Repository

lukece/codaimpact ↗Account: LukeCe

0Stars

1Forks

0Open issues

0Open PRs

0Releases

61Commits

2Commit identities

License file reads as GPL-3.0 · 61 commits · Last activity 2024-03-22

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 61
Median days to close, 50 most recently updated closed PRs: 46

Forks over time

2023-11-28 · 12026-07-07 · 1

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/lukece/codaimpact on 2026-10-18.

Continuous integration (1)

GitHub Actions

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2024-03-22 · The repository has a site deploy workflow

pkgdown site last built 2024-03-22, before release 0.1.0 (2024-03-23)

Reproducibility and dev environment (1)

data-raw/

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing CoDaImpact adds 7 packages (6 with compiled code, 9.9 MB of source tarballs). Heaviest: compositions 2.7 MB, robustbase 2.2 MB, bayesm 2.1 MB.

Depends (1)

R >= 2.10

Imports (2)

methodscompositions

LinkingTo (0)

none

Suggests (4)

rmarkdown knitr sf tinytest

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 (6)

Lukas Dargel

Author, Maintainer since 0.1.0 (2024)

Christine Thomas-Agnan

Author

Contributor

Contributor

Contributor

Contributor

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.1.0Latest
record
2024-03-23 · current release
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-03-23
Total releases: 1 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 2.10
Bundled data: 695 KB / 4 files
Download size: 932 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CoDaImpact")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 CoDaImpact version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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