TDAstats: 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. 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>.

Version: 0.3.0
Depends: R (≥ 3.4)
Imports: ggplot2 (≥ 2.2.1), Rcpp (≥ 0.12.15)
LinkingTo: Rcpp
Suggests: testthat (≥ 2.0.0), knitr, rmarkdown
Published: 2018-08-05
Author: Raoul Wadhwa [aut, cre], Andrew Dhawan [aut], Drew Williamson [aut], Jacob Scott [aut]
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
CRAN checks: TDAstats results

Downloads:

Reference manual: TDAstats.pdf
Vignettes: Hypothesis testing with TDAstats
Introduction to persistent homology with TDAstats
Package source: TDAstats_0.3.0.tar.gz
Windows binaries: r-devel: TDAstats_0.3.0.zip, r-release: TDAstats_0.3.0.zip, r-oldrel: TDAstats_0.3.0.zip
OS X binaries: r-release: TDAstats_0.3.0.tgz, r-oldrel: TDAstats_0.3.0.tgz
Old sources: TDAstats archive

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