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.
| Version: |
0.0.2 |
| Imports: |
Rcpp (≥ 1.0.6), doParallel, foreach, assertthat, testthat, stats |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
rmarkdown, knitr, devtools, tidyverse |
| Published: |
2021-09-28 |
| Author: |
Alan Aw  [cre,
aut],
Jeffrey Spence [ctb] |
| Maintainer: |
Alan Aw <alanaw1 at berkeley.edu> |
| BugReports: |
https://github.com/alanaw1/flintyR/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://alanaw1.github.io/flintyR/ |
| NeedsCompilation: |
yes |
| CRAN checks: |
flintyR results |
Documentation:
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