TDAstats: R pipeline for computing persistent homology in topological data analysis

R C++ Submitted 28 July 2018Published 08 August 2018
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Editor: @leeper (all papers)
Reviewers: @corybrunson (all reviews)

Authors

Raoul R. Wadhwa (0000-0003-0503-9580), Drew F.k. Williamson (0000-0003-1745-8846), Andrew Dhawan (0000-0002-5027-1277), Jacob G. Scott (0000-0003-2971-7673)

Citation

Wadhwa et al., (2018). TDAstats: R pipeline for computing persistent homology in topological data analysis . Journal of Open Source Software, 3(28), 860, https://doi.org/10.21105/joss.00860

@article{Wadhwa2018, doi = {10.21105/joss.00860}, url = {https://doi.org/10.21105/joss.00860}, year = {2018}, publisher = {The Open Journal}, volume = {3}, number = {28}, pages = {860}, author = {Raoul R. Wadhwa and Drew F.k. Williamson and Andrew Dhawan and Jacob G. Scott}, title = {TDAstats: R pipeline for computing persistent homology in topological data analysis}, journal = {Journal of Open Source Software} }
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topological data analysis persistent homology Vietoris-Rips complex statistical resampling

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