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 inference 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. See Aw, Spence and Song (2021) for the accompanying paper.


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install.packages("flintyR")

0.0.1 by Alan Aw, 18 days ago


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, HiTC, HiCDataHumanIMR90, TopDom, zeallot, kableExtra, ade4, adegenet, poppr, reticulate, tseries

Linking to Rcpp, RcppArmadillo


See at CRAN