CITATION.cff

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abstract: "We introduce hyppo, a unified library for performing multivariate hypothesis testing, including independence, two-sample, and k-sample testing. While many multivariate independence tests have R packages available, the interfaces are inconsistent and most are not available in Python. hyppo includes many state-of-the-art multivariate testing procedures. The package is easy to use and is flexible enough to enable future extensions. The documentation and all releases are available at https://hyppo.neurodata.io."
authors:
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Panda
    given-names: Sambit
    orcid: "https://orcid.org/0000-0001-8455-4243"
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Palaniappan
    given-names: Satish
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Xiong
    given-names: Junhao
  -
    affiliation: "Johns Hopkins School of Public Health, Baltimore, MD"
    family-names: Bridgeford
    given-names: Eric
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Mehta
    given-names: Ronak
  -
    affiliation: "University of Delaware, Newark, DE"
    family-names: Shen
    given-names: Cencheng
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Vogelstein
    given-names: Joshua
    orcid: "https://orcid.org/0000-0003-2487-6237"
cff-version: "1.1.0"
date-released: 2021-02-05
identifiers:
  -
    type: url
    value: "https://arxiv.org/pdf/1907.02088.pdf"
keywords:
  - Python
  - multivariate
  - independence
  - "k-sample"
  - hypothesis
license: MIT
message: "If you use this software, please cite it using this metadata."
repository-code: "https://github.com/neurodata/hyppo"
title: "hyppo: A Multivariate Hypothesis Testing Python Package"
version: "0.2.0"
...