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waddR

This is the development version of waddR; for the stable release version, see waddR.

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


Bioconductor version: Development (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 gmail.com>

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

Installation

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


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("waddR")

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

Documentation

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

browseVignettes("waddR")
waddR HTML R Script
wasserstein_metric HTML R Script
wasserstein_singlecell HTML R Script
wasserstein_test HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews DifferentialExpression, SingleCell, Software, StatisticalMethod
Version 1.17.0
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
URL https://github.com/goncalves-lab/waddR.git
Bug Reports https://github.com/goncalves-lab/waddR/issues
See More
Suggests knitr, devtools, testthat, roxygen2, rprojroot, rmarkdown, scater
Linking To Rcpp, RcppArmadillo
Enhances
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_1.17.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/waddR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/waddR
Bioc Package Browser https://code.bioconductor.org/browse/waddR/
Package Short Url https://bioconductor.org/packages/waddR/
Package Downloads Report Download Stats