waddR

DOI: 10.18129/B9.bioc.waddR    

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

Statistical Test for Detecting Differential Distributions Based on the Wasserstein Metric

Bioconductor version: Development (3.11)

Wasserstein distance based statistical test for detecting and describing differential distributions in one-dimensional data. Functions for wasserstein distance calculation, differential distribution testing, and a specialized test for differential expression in scRNA data are provided.

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 "4.0") and enter:

if (!requireNamespace("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")

 

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 1.1.1
In Bioconductor since BioC 3.10 (R-3.6) (< 6 months)
License MIT + file LICENSE
Depends R (>= 3.6.0)
Imports Rcpp (>= 1.0.1), eva (>= 0.2.5), arm (>= 1.10-1), 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_1.1.1.tar.gz
Windows Binary waddR_1.1.1.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) waddR_1.1.1.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

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