CRAN/E | interplex

interplex

Coercion Methods for Simplicial Complex Data Structures

Installation

About

Computational topology, which includes 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.

github.com/corybrunson/interplex
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Key Metrics

Version 0.1.0
Published 2022-06-21 675 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks interplex results

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Maintainer

Maintainer

Jason Cory Brunson

cornelioid@gmail.com

Authors

Jason Cory Brunson

aut / cre

Yara Skaf

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Suggests

TDA
simplextree ≥ 0.9.1
igraph ≥ 0.6-0
network ≥1.4-2
intergraph
reticulate
roxygen2
rmarkdown
testthat