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inphr  

Statistical Inference for Persistence Homology Data
View on CRAN: Click here


Download and install inphr package within the R console
Install from CRAN:
install.packages("inphr")

Install from Github:
library("remotes")
install_github("cran/inphr")

Install by package version:
library("remotes")
install_version("inphr", "0.0.1")



Attach the package and use:
library("inphr")
Maintained by
Aymeric Stamm
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-01
Latest Update: 2025-09-01
Description:
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" <doi: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" <doi:10.1016/j.csda.2019.106896>.
How to cite:
Aymeric Stamm (2025). inphr: Statistical Inference for Persistence Homology Data. R package version 0.0.1, https://cran.r-project.org/web/packages/inphr. Accessed 28 Oct. 2026.
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