R Observatory: Metrics for OrdinalCompositions version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

OrdinalCompositions

0.1.0

Wasserstein-Based Regression for Ordinal Compositional Data

0packages depend

497downloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Nicola PirasFirst published 2026-06-191 releasesCRAN page ↗

Tools analyzing regression models for ordinal compositional data using Wasserstein-based distances. The package includes linear programming solvers under simplex constraints, tensor product constructions and performance metrics.

Install

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

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

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

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-ordinalcompositions

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-OrdinalCompositions

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-OrdinalCompositions

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 3.2 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-20
6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 80%
Documented parameters: 100%
Return-value docs: 100%
References docs: 7%

Downloads

497

CRAN downloads in the past year

Rank #22,023 · ~1/day · ~41/mo

Releases R versions

Daily download trend is not available in this view yet.

16230 days

49790 days

4971 year

Compare downloads with other packages →

Also on13 r2u20 autocran

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (3)

lpSolveAPIstatsextraDistr

LinkingTo (0)

none

Suggests (3)

codalm knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Nicola Piras

Author, Maintainer

Authors (3)

Nicola Piras

Author, Maintainer

Beniamino Cappelletti-Montano

Author

Monica Musio

Author

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-06-19 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-06-19
Total releases: 1 / 1 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.5.0
Bundled data: 21 KB / 2 files
Download size: 49 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("OrdinalCompositions")

Format

Piras, N., Cappelletti-Montano, B., & Musio, M. (2026). OrdinalCompositions: Wasserstein-Based Regression for Ordinal Compositional Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.OrdinalCompositions

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 OrdinalCompositions version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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