Package: interplex 0.1.2

Jason Cory Brunson

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.

Authors:Jason Cory Brunson [aut, cre], Yara Skaf [ctb]

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Bug tracker:https://github.com/tdaverse/interplex/issues

On CRAN:

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Last updated 7 months agofrom:ebac881c85. Checks:OK: 7. Indexed: yes.

Exports:as_cmplxas_igraphas_networkas_py_gudhi_simplextreeas_rcpp_simplextree

Dependencies:clicodacpp11fansigluehereigraphintergraphjsonlitelatticelifecyclemagrittrMatrixnetworkpillarpkgconfigpngrappdirsRcppRcppTOMLreticulaterlangrprojrootsimplextreestatnet.commontibbleutf8vctrswithr