DESCRIPTION

Package: inphr
Title: Statistical Inference for Persistence Homology Data
Version: 0.0.1
Authors@R: 
    person("Aymeric", "Stamm", , "aymeric.stamm@cnrs.fr", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8725-3654"))
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>.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
URL: https://github.com/tdaverse/inphr, https://tdaverse.github.io/inphr/
BugReports: https://github.com/tdaverse/inphr/issues
Imports: 
    cli,
    fdatest,
    flipr,
    phutil,
    rlang,
    TDAvec
Depends: 
    R (>= 3.5)
LazyData: true
Suggests: tinytest