Modular, interoperable, and extensible topological data analysis in R
PIs:
Cory Brunson, Ph.D.
Aymeric Stamm, Ph.D.
Project Summary
The goal of this project is to seamlessly integrate popular techniques from topological data analysis (TDA) into common statistical workflows in R. The expected benefit is that these extensions will be more widely used by non-specialist researchers and analysts, which will create sufficient awareness and interest in the community to extend the individual packages and the collection.
Publications
- Stamm A, Brunson J (2025). phutil: Persistence Homology Utilities. R package version 0.0.1, https://CRAN.R-project.org/package=phutil.
- Brunson J (2025). tdarec: A ‘recipes’ Extension for Persistent Homology and Its Vectorizations. R package version 0.2.0, https://github.com/tdaverse/tdarec.
- Stamm A (2025). inphr: Statistical Inference for Persistence Homology Data. https://github.com/tdaverse/inphr.
- Wadhwa R, Piekenbrock M, Brunson J, Zhang X, Zhang A, Phipps K, Hershkowitz S (2025). ripserr: Calculate Persistent Homology with Ripser-Based Engines. R package version 1.0.0, https://CRAN.R-project.org/package=ripserr.