Pipeline for Topological Data Analysis R package TDAstats version 0.4.2 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>. Software Depends: R (>= 3.3) Imports: ggplot2 (>= 2.2.1), Rcpp (>= 0.12.15), methods (>= 3.6.2) LinkingTo: Rcpp Suggests: testthat (>= 2.0.0), knitr, rmarkdown, covr Jason Cory Brunson <cornelioid@gmail.com> Comprehensive R Archive Network (CRAN) Raoul Wadhwa [aut], Andrew Dhawan [aut], Drew Williamson [aut], Jacob Scott [aut], Jason Cory Brunson [aut, cre], Shota Ochi [ctb] GPL-3 2026-02-23 application/tgz https://CRAN.R-project.org/package=TDAstats doi:10.32614/CRAN.package.TDAstats