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 |