flintyR: Flexible and Interpretable Non-Parametric Tests of Exchangeability

Given a multivariate dataset and some knowledge about the dependencies between its features, it is important to ensure the observations or individuals are exchangeable before fitting a model to the data in order to make inferences from it, or assigning randomized treatments in order to estimate treatment effects. This package provides a flexible non-parametric test of exchangeability, allowing the user to specify the feature dependencies by hand. It can be used directly to evaluate whether a sample is exchangeable, and can also be piped into larger procedures that require exchangeable samples as outputs (e.g., clustering or community detection). See Aw, Spence and Song (2021+) for the accompanying paper.

Package details

AuthorAlan Aw [cre, aut] (<https://orcid.org/0000-0001-9455-7878>), Jeffrey Spence [ctb]
MaintainerAlan Aw <alanaw1@berkeley.edu>
LicenseGPL (>= 3)
URL https://alanaw1.github.io/flintyR/
Package repositoryView on CRAN
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flintyR documentation built on Sept. 28, 2021, 5:07 p.m.