# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "inphr" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'inphr: Statistical Inference for Persistence Homology Data'
version: 0.0.1
doi: 10.32614/CRAN.package.inphr
abstract: 'A set of functions for performing null hypothesis testing on samples of
  persistence diagrams using the theory of permutations. Currently, only two-sample
  testing is implemented. Inputs can be either samples of persistence diagrams themselves
  or vectorizations. In the former case, they are embedded in a metric space using
  either the Bottleneck or Wasserstein distance. In the former case, persistence data
  becomes functional data and inference is performed using tools available in the
  ''fdatest'' package. Main reference for the interval-wise testing method: Pini A.,
  Vantini S. (2017) "Interval-wise testing for functional data" <https://doi.org/10.1080/10485252.2017.1306627>.
  Main reference for inference on populations of networks: Lovato, I., Pini, A., Stamm,
  A., & Vantini, S. (2020) "Model-free two-sample test for network-valued data" <https://doi.org/10.1016/j.csda.2019.106896>.'
authors:
- family-names: Stamm
  given-names: Aymeric
  email: aymeric.stamm@cnrs.fr
  orcid: https://orcid.org/0000-0002-8725-3654
repository: https://tdaverse.r-universe.dev
repository-code: https://github.com/tdaverse/inphr
commit: 98b6a3e6a0d7a828106627a118498ca14fef57e1
url: https://tdaverse.github.io/inphr/
date-released: '2025-08-26'
contact:
- family-names: Stamm
  given-names: Aymeric
  email: aymeric.stamm@cnrs.fr
  orcid: https://orcid.org/0000-0002-8725-3654