hyppo: A Multivariate Hypothesis Testing Python Package

2019/07/03 by Sambit Panda, Satish Palaniappan, Panda, Sambit +11 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Computation (stat.CO) #Data Analysis with R #FOS: Computer and information sciences #Machine Learning (stat.ML) #Mathematical Software (cs.MS) #Metabolomics and Mass Spectrometry Studies #Methodology (stat.ME) #Neural Networks and Applications

paper · pdf · doi:10.48550/arxiv.1907.02088

openalex publication_date 2019/07/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Citations

• A NEW MEASURE OF RANK CORRELATION
• Some distance properties of latent root and vector methods used in multivariate analysis
• A Non-Parametric Test of Independence
• On a measure of lack of fit in time series models

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