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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 (3.18)

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 "4.3") 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 1.15.0
In Bioconductor since BioC 3.10 (R-3.6) (4 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
Linking To Rcpp, RcppArmadillo
Suggests knitr, devtools, testthat, roxygen2, rprojroot, rmarkdown, scater
System Requirements
Enhances
URL https://github.com/goncalves-lab/waddR.git
Bug Reports https://github.com/goncalves-lab/waddR/issues
See More
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Package Archives

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

Source Package waddR_1.15.0.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/
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