OrdinalCompositions: Wasserstein-Based Regression for Ordinal Compositional Data

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.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: lpSolveAPI, stats, extraDistr
Suggests: codalm, knitr, rmarkdown
Published: 2026-06-19
DOI: 10.32614/CRAN.package.OrdinalCompositions (may not be active yet)
Author: Nicola Piras [aut, cre], Monica Musio [aut], Beniamino Cappelletti-Montano [aut]
Maintainer: Nicola Piras <nicola.piras97 at unica.it>
License: GPL-2
NeedsCompilation: no
CRAN checks: OrdinalCompositions results

Documentation:

Reference manual: OrdinalCompositions.html , OrdinalCompositions.pdf
Vignettes: Satisfaction of life in own city dataset (source, R code)
Educational dataset example (source, R code)

Downloads:

Package source: OrdinalCompositions_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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