flintyR: Flexible and Interpretable Non-Parametric Tests of
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.
||Rcpp (≥ 1.0.6), doParallel, foreach, assertthat, testthat, stats
||rmarkdown, knitr, devtools, tidyverse
||Alan Aw [cre,
Jeffrey Spence [ctb]
||Alan Aw <alanaw1 at berkeley.edu>
||GPL (≥ 3)
Please use the canonical form
to link to this page.