waddR

DOI: 10.18129/B9.bioc.waddR    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see waddR.

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

Bioconductor version: 3.13

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>

Installation

To install this package, start R (version "4.1") and enter:

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

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")

 

HTML	R Script	waddR
HTML	R Script	wasserstein_metric
HTML	R Script	wasserstein_singlecell
HTML	R Script	wasserstein_test
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	DifferentialExpression, SingleCell, Software, StatisticalMethod
Version	1.6.1
In Bioconductor since	BioC 3.10 (R-3.6) (2 years)
License	MIT + file LICENSE
Depends	R (>= 3.6.0)
Imports	Rcpp (>= 1.0.1), arm (>= 1.10-1), eva, BiocFileCache, BiocParallel, SingleCellExperiment, parallel, methods, stats
LinkingTo	Rcpp, RcppArmadillo
Suggests	knitr, devtools, testthat, roxygen2, rprojroot, rmarkdown, scater
SystemRequirements
Enhances
URL	https://github.com/goncalves-lab/waddR.git
BugReports	https://github.com/goncalves-lab/waddR/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	waddR_1.6.1.tar.gz
Windows Binary	waddR_1.6.1.zip
macOS 10.13 (High Sierra)	waddR_1.6.1.tgz
Source Repository	git clone https://git.bioconductor.org/packages/waddR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/waddR
Package Short Url	https://bioconductor.org/packages/waddR/
Package Downloads Report	Download Stats