Pipeline for Topological Data Analysis
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) <10.1007>.
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 < https://github.com/Ripser/ripser>.
This package has been published as Wadhwa et al. (2018)