flintyR: Simple and Flexible Tests of Sample Exchangeability

Given a multivariate dataset and some knowledge about the dependencies between its features, it is customary to fit a statistical model to the features to infer parameters of interest. Such a procedure implicitly assumes that the sample is exchangeable. This package provides a flexible non-parametric test of this exchangeability assumption, allowing the user to specify the feature dependencies by hand as long as features can be grouped into disjoint independent sets. This package also allows users to test a dual hypothesis, which is, given that the sample is exchangeable, does a proposed grouping of the features into disjoint sets also produce statistically independent sets of features? See Aw, Spence and Song (2023) for the accompanying paper.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.6), doParallel, foreach, assertthat, testthat, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: devtools
Published: 2023-03-23
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


Reference manual: flintyR.pdf


Package source: flintyR_0.1.0.tar.gz
Windows binaries: r-devel: flintyR_0.1.0.zip, r-release: flintyR_0.1.0.zip, r-oldrel: flintyR_0.1.0.zip
macOS binaries: r-release (arm64): flintyR_0.1.0.tgz, r-oldrel (arm64): flintyR_0.1.0.tgz, r-release (x86_64): flintyR_0.1.0.tgz, r-oldrel (x86_64): flintyR_0.1.0.tgz
Old sources: flintyR archive


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