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interplex  

Coercion Methods for Simplicial Complex Data Structures
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("interplex", "0.1.2")



Attach the package and use:
library("interplex")
Maintained by
Jason Cory Brunson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-21
Latest Update: 2024-02-20
Description:
Computational topology, which enables topological data analysis (TDA), makes pervasive use of abstract mathematical objects called simplicial complexes; see Edelsbrunner and Harer (2010) . 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) 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.
How to cite:
Jason Cory Brunson (2022). interplex: Coercion Methods for Simplicial Complex Data Structures. R package version 0.1.2, https://cran.r-project.org/web/packages/interplex. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2022-06-21 11:40)
Other packages that cited interplex R package
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Other R packages that interplex depends, imports, suggests or enhances
Complete documentation for interplex
Functions, R codes and Examples using the interplex R package
Some associated functions: as_cmplx . as_igraph . as_network . as_py_gudhi_simplextree . as_rcpp_simplextree . interplex . 
Some associated R codes: Full interplex package functions and examples
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