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.
OrdinalCompositions
Nicola Piras
;Monica Musio;Beniamino Cappelletti-Montano
2026-01-01
Abstract
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.
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