This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see waddR.
Bioconductor version: 3.16
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")):
To install this package, start R (version "4.2") 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.
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 | 
| Reference Manual | ||
| Text | NEWS | |
| Text | LICENSE | 
| biocViews | DifferentialExpression, SingleCell, Software, StatisticalMethod | 
| Version | 1.12.0 | 
| In Bioconductor since | BioC 3.10 (R-3.6) (3.5 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 | 
Follow Installation instructions to use this package in your R session.
| Source Package | waddR_1.12.0.tar.gz | 
| Windows Binary | waddR_1.11.0.zip | 
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | waddR_1.12.0.tgz | 
| 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 | 
 
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