A comprehensive toolset for any useR conducting topological data analysis, specifically via the calculation of persistent homology in a VietorisRips 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) <doi:10.21105/joss.00860>. For a general background on computing persistent homology for topological data analysis, see Otter et al. (2017) <doi:10.1140/epjds/s1368801701095>. To learn more about how the permutation test is used for nonparametric statistical inference in topological data analysis, read Robinson & Turner (2017) <doi:10.1007/s4146801700087>. 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) <doi:10.21105/joss.00860>.
Package details 


Author  Raoul Wadhwa [aut, cre], Andrew Dhawan [aut], Drew Williamson [aut], Jacob Scott [aut], Jason Cory Brunson [ctb], Shota Ochi [ctb] 
Maintainer  Raoul Wadhwa <raoulwadhwa@gmail.com> 
License  GPL3 
Version  0.4.1 
URL  https://github.com/rrrlw/TDAstats 
Package repository  View on CRAN 
Installation 
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