Installation
About
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.
alanaw1.github.io/flintyR/ | |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 6 0% |
Last 7 days | 69 +3% |
Last 30 days | 289 +25% |
Last 90 days | 709 +7% |
Last 365 days | 2.816 +7% |
Maintainer
Maintainer | Alan Aw |