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cff-version: 1.2.0
message: 'To cite package "TDApplied" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'TDApplied: Machine Learning and Inference for Topological Data Analysis'
version: 3.0.4
doi: 10.32614/CRAN.package.TDApplied
abstract: Topological data analysis is a powerful tool for finding non-linear global
  structure in whole datasets. The main tool of topological data analysis is persistent
  homology, which computes a topological shape descriptor of a dataset called a persistence
  diagram. 'TDApplied' provides useful and efficient methods for analyzing groups
  of persistence diagrams with machine learning and statistical inference, and these
  functions can also interface with other data science packages to form flexible and
  integrated topological data analysis pipelines.
authors:
- family-names: Brown
  given-names: Shael
  email: shaelebrown@gmail.com
- family-names: Farivar
  given-names: Dr. Reza
  email: reza.farivar@mcgill.ca
repository: https://CRAN.R-project.org/package=TDApplied
repository-code: https://github.com/shaelebrown/TDApplied
url: https://github.com/shaelebrown/TDApplied
date-released: '2024-10-29'
contact:
- family-names: Brown
  given-names: Shael
  email: shaelebrown@gmail.com