waddR

This is the released version of waddR; for the devel version, see waddR.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10

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

Bioconductor version: Release (3.23)

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")):

Roman Schefzik. waddR: Statistical tests for detecting differential distributions based on the 2-Wasserstein distance. doi:10.18129/B9.bioc.waddR, R package version 1.26.0, https://bioconductor.org/packages/waddR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("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")

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	DifferentialExpression, SingleCell, Software, StatisticalMethod
Version	1.26.0
In Bioconductor since	BioC 3.10 (R-3.6) (7 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

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, r-universe

Package Archives

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

Source Package	waddR_1.26.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)	waddR_1.26.0.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