TDAstats: Statistical Inference for Persistent Homology in Topological...

In TDAstats: Pipeline for Topological Data Analysis

Statistical Inference for Persistent Homology in Topological Data Analysis

Description

This package aims to be 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.

Author(s)

Maintainer: Jason Cory Brunson [e-mail]

Authors:

• Raoul Wadhwa

• Andrew Dhawan

• Drew Williamson

• Jacob Scott

Other contributors:

• Shota Ochi [contributor]

See Also

Useful links:

• https://tdaverse.github.io/TDAstats/

• Report bugs at https://github.com/tdaverse/TDAstats/issues

TDAstats documentation built on Feb. 23, 2026, 9:06 a.m.