interplex: Coercion Methods for Simplicial Complex Data Structures

Computational topology, which enables topological data analysis (TDA), makes pervasive use of abstract mathematical objects called simplicial complexes; see Edelsbrunner and Harer (2010) <doi:10.1090/mbk/069>. Several R packages and other software libraries used through an R interface construct and use data structures that represent simplicial complexes, including mathematical graphs viewed as 1-dimensional complexes. This package provides coercers (converters) between these data structures. Currently supported structures are complete lists of simplices as used by 'TDA'; the simplex trees of Boissonnat and Maria (2014) <doi:10.1007/s00453-014-9887-3> as implemented in 'simplextree' and in Python GUDHI (by way of 'reticulate'); and the graph classes of 'igraph' and 'network', by way of the 'intergraph' package.

Getting started

Package details

AuthorJason Cory Brunson [aut, cre] (<https://orcid.org/0000-0003-3126-9494>), Yara Skaf [ctb]
MaintainerJason Cory Brunson <cornelioid@gmail.com>
LicenseGPL (>= 3)
Version0.1.2
URL https://github.com/tdaverse/interplex
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("interplex")

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interplex documentation built on May 29, 2024, 6:28 a.m.