| distDataPValue {flintyR} | 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 |
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 |
Details
Dependencies: distDataLargeP and distDataPermute from auxiliary.R
Value
The p-value to be used to test the null hypothesis of exchangeability.