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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 |
| 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 |
| Reference manual: | OrdinalCompositions.html , OrdinalCompositions.pdf |
| Vignettes: |
Satisfaction of life in own city dataset (source, R code) Educational dataset example (source, R code) |
| Package source: | OrdinalCompositions_0.1.0.tar.gz |
| Windows binaries: | r-devel: OrdinalCompositions_0.1.0.zip, r-release: OrdinalCompositions_0.1.0.zip, r-oldrel: OrdinalCompositions_0.1.0.zip |
| macOS binaries: | r-release (arm64): OrdinalCompositions_0.1.0.tgz, r-oldrel (arm64): OrdinalCompositions_0.1.0.tgz, r-release (x86_64): OrdinalCompositions_0.1.0.tgz, r-oldrel (x86_64): OrdinalCompositions_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
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