Pipeline for Topological Data Analysis
Description
A comprehensive toolset for any
useR conducting topological data analysis, specifically via the
calculation of persistent homology in a Vietoris-Rips complex.
The tools this package currently provides can be conveniently split
into three main sections: (1) calculating persistent homology; (2)
conducting statistical inference on persistent homology calculations;
(3) visualizing persistent homology and statistical inference.
The published form of TDAstats can be found in Wadhwa et al. (2018)
.
For a general background on computing persistent homology for
topological data analysis, see Otter et al. (2017)
.
To learn more about how the permutation test is used for
nonparametric statistical inference in topological data analysis,
read Robinson & Turner (2017) .
To learn more about how TDAstats calculates persistent homology,
you can visit the GitHub repository for Ripser, the software that
works behind the scenes at .
This package has been published as Wadhwa et al. (2018)
.