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.


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install.packages("flintyR")

0.0.2 by Alan Aw, 4 months ago


https://alanaw1.github.io/flintyR/


Report a bug at https://github.com/alanaw1/flintyR/issues


Browse source code at https://github.com/cran/flintyR


Authors: Alan Aw [cre, aut] , Jeffrey Spence [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Rcpp, doParallel, foreach, assertthat, testthat, stats

Suggests rmarkdown, knitr, devtools, tidyverse

Linking to Rcpp, RcppArmadillo


See at CRAN