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) <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/s13688-017-0109-5>. 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/s41468-017-0008-7>. 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>.
Version: 0.4.1 Depends: R (≥ 3.3) Imports: ggplot2 (≥ 2.2.1), Rcpp (≥ 0.12.15) LinkingTo: Rcpp Suggests: testthat (≥ 2.0.0), knitr, rmarkdown, covr Published: 2019-12-12 DOI: 10.32614/CRAN.package.TDAstats 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 at gmail.com> BugReports: https://github.com/rrrlw/TDAstats/issues License: GPL-3 URL: https://github.com/rrrlw/TDAstats NeedsCompilation: yes SystemRequirements: C++11 Citation: TDAstats citation info CRAN checks: TDAstats results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=TDAstats to link to this page.
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