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.
| Version: |
0.1.2 |
| Imports: |
intergraph, igraph (≥ 0.6-0), network (≥ 1.4-2), simplextree (≥ 0.9.1), reticulate |
| Suggests: |
igraphdata, TDA, roxygen2, rmarkdown, testthat |
| Published: |
2024-02-20 |
| DOI: |
10.32614/CRAN.package.interplex |
| Author: |
Jason Cory Brunson
 [aut, cre],
Yara Skaf [ctb] |
| Maintainer: |
Jason Cory Brunson <cornelioid at gmail.com> |
| BugReports: |
https://github.com/tdaverse/interplex/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/tdaverse/interplex |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
interplex results |
Documentation:
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