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 ORCID iD [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

Downloads:

Reference manual: flintyR.pdf
Package source: flintyR_0.0.2.tar.gz
Windows binaries: r-devel: flintyR_0.0.2.zip, r-devel-UCRT: flintyR_0.0.2.zip, r-release: flintyR_0.0.2.zip, r-oldrel: flintyR_0.0.2.zip
macOS binaries: r-release (arm64): flintyR_0.0.2.tgz, r-release (x86_64): flintyR_0.0.2.tgz, r-oldrel: flintyR_0.0.2.tgz
Old sources: flintyR archive

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