R: Statistical tests for detecting differential distributions based on the 2-Wasserstein distance

# Statistical tests for detecting differential distributions based on the 2-Wasserstein distance

## Documentation for package ‘waddR’ version 1.26.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

waddR-package | waddR: Statistical tests for detecting differential distributions based on the 2-Wasserstein distance
.brownianBridgeEmpcdf | Compute value of the asymptotic CDF occuring in the asymptotic theory-based test
.combinePVal | Compute combined p-value using Fisher's method for several pairs of p-values
.fishersCombinedPval | Compute combined p-value using Fisher's method
.gpdFittedPValue | Compute p-value based on generalized Pareto distribution fitting
.quantileCorrelation | Compute the quantile-quantile correlation
.relativeError | Compute relative error
.testWass | Check for differential distributions in single-cell RNA sequencing data via a semi-paramteric test using the 2-Wasserstein distance
.wassersteinTestAsy | Asymptotic theory-based test using the 2-Wasserstein distance to check for differential distributions
.wassersteinTestSp | Semi-parametric test using the 2-Wasserstein distance to check for differential distributions
.wassPermProcedure | Permutation procedure that calculates the squared 2-Wasserstein distances for random shuffles of two input samples representing two conditions
brownianBridgeEmpcdf.url | URL for downloading the asymptotic CDF occuring in the asymptotic theory-based test
permutations | Return permutations of a given vector as columns in a matrix
squared_wass_approx | Compute approximated squared 2-Wasserstein distance
squared_wass_decomp | Compute the squared 2-Wasserstein distance based on a decomposition
testZeroes | Test for differential proportions of zero gene expression
testZeroes-method | Test for differential proportions of zero gene expression
waddR | waddR: Statistical tests for detecting differential distributions based on the 2-Wasserstein distance
wasserstein.sc | Two-sample semi-parametric test for single-cell RNA-sequencing data to check for differences between two distributions using the 2-Wasserstein distance
wasserstein.sc-method | Two-sample semi-parametric test for single-cell RNA-sequencing data to check for differences between two distributions using the 2-Wasserstein distance
wasserstein.sc-method-method | Two-sample semi-parametric test for single-cell RNA-sequencing data to check for differences between two distributions using the 2-Wasserstein distance
wasserstein.test | Two-sample test to check for differences between two distributions using the 2-Wasserstein distance
wasserstein_metric | Calculate the p-Wasserstein distance