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AMDconfigurations  

Geometric Analysis of Configurations in High-Dimensional Spaces
View on CRAN: Click here


Download and install AMDconfigurations package within the R console
Install from CRAN:
install.packages("AMDconfigurations")

Install from Github:
library("remotes")
install_github("cran/AMDconfigurations")

Install by package version:
library("remotes")
install_version("AMDconfigurations", "0.1.0")



Attach the package and use:
library("AMDconfigurations")
Maintained by
Manuel Mendoza
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-17
Latest Update: 2026-03-17
Description:
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) <https://mmendoza1967.github.io/AMDconfigurations/>.
How to cite:
Manuel Mendoza (2026). AMDconfigurations: Geometric Analysis of Configurations in High-Dimensional Spaces. R package version 0.1.0, https://cran.r-project.org/web/packages/AMDconfigurations. Accessed 03 Oct. 2026.
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Functions, R codes and Examples using the AMDconfigurations R package
Full AMDconfigurations package functions and examples
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