| 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 |