# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "AMDconfigurations" in publications use:' type: software license: MIT title: 'AMDconfigurations: Geometric Analysis of Configurations in High-Dimensional Spaces' version: 0.1.0 doi: 10.32614/CRAN.package.AMDconfigurations abstract: Tools for analysing the geometry of configurations in high-dimensional spaces using the Average Membership Degree (AMD) framework and synthetic configuration generation. The package supports a domain-agnostic approach to studying the shape, dispersion, and internal structure of point clouds, with applications across biological and ecological datasets, including those derived from deep-time records. The AMD framework builds on the idea that strongly coupled systems may occupy a limited set of recurrent regimes in state space, producing high-occupancy regions separated by sparsely populated transitional configurations. The package focuses on detecting these concentration patterns and quantifying their geometric definition without assuming any underlying dynamical model. It provides AMD curve computation, cluster assignment, and sigma-equivalent estimation, together with S3 methods for plotting, printing, and summarising AMD and sigma-equivalent objects. Mendoza (2025) . authors: - family-names: Mendoza given-names: Manuel email: mmendoza@mncn.csic.es orcid: https://orcid.org/0000-0002-2143-8138 repository: https://mmendoza1967.r-universe.dev repository-code: https://github.com/mmendoza1967/AMDconfigurations commit: 746447861061e28f68b7a17719a7c02b2e985a49 url: https://mmendoza1967.github.io/AMDconfigurations/ date-released: '2026-02-19' contact: - family-names: Mendoza given-names: Manuel email: mmendoza@mncn.csic.es orcid: https://orcid.org/0000-0002-2143-8138