distDataPValue: A Non-parametric Test of Sample Exchangeability and Feature...
In flintyR: Simple and Flexible Tests of Sample Exchangeability

distDataPValue

R Documentation

A Non-parametric Test of Sample Exchangeability and Feature Independence (Distance List Version)

Description

The V test computes the p-value of a multivariate dataset, which informs the user about one of two decisions: (1) whether the sample is exchangeable at a given significance level, assuming that the feature dependencies are known; or (2) whether the features or groups of features are independent at a given significance level, assuming that the sample is exchangeable. This version takes in a list of distance matrices recording pairwise distances between individuals across B independent features. It can be used to test one of two hypotheses: (H1) the sample is exchangeable, assuming that each feature whose pairwise distance data is available is statistically independent of any other feature, or (H2) the B features whose pairwise distance data is available are independent, assuming that the sample is exchangeable.

Usage

distDataPValue(dist_list, largeP = FALSE, nruns = 1000, type = "unbiased")

Arguments

`dist_list`	The list of distances.
`largeP`	Boolean indicating whether to use large `P` asymptotics. Default is FALSE.
`nruns`	Resampling number for exact test. Default is 1000.
`type`	Either an unbiased estimate of ('unbiased', default), or valid, but biased estimate of, ('valid') p-value (see Hemerik and Goeman, 2018), or both ('both'). Default is 'unbiased'. Note that unbiased estimate can return `0`.