Registration Open for Bioc2024 July 24-26


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

Bioconductor version: Release (3.19)

The package offers statistical tests based on the 2-Wasserstein distance for detecting and characterizing differences between two distributions given in the form of samples. Functions for calculating the 2-Wasserstein distance and testing for differential distributions are provided, as well as a specifically tailored test for differential expression in single-cell RNA sequencing data.

Author: Roman Schefzik [aut], Julian Flesch [cre]

Maintainer: Julian Flesch <julianflesch at>

Citation (from within R, enter citation("waddR")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

waddR HTML R Script
wasserstein_metric HTML R Script
wasserstein_singlecell HTML R Script
wasserstein_test HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, SingleCell, Software, StatisticalMethod
Version 1.18.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License MIT + file LICENSE
Depends R (>= 3.6.0)
Imports Rcpp (>= 1.0.1), arm (>= 1.10-1), eva, BiocFileCache(>= 2.6.0), BiocParallel, SingleCellExperiment, parallel, methods, stats
System Requirements
Bug Reports
See More
Suggests knitr, devtools, testthat, roxygen2, rprojroot, rmarkdown, scater
Linking To Rcpp, RcppArmadillo
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package waddR_1.18.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats