waddR
Statistical tests for detecting differential distributions based on the 2-Wasserstein distance
Bioconductor version: Release (3.19)
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("waddR")):
Installation
To install this package, start R (version "4.4") 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 | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | DifferentialExpression, SingleCell, Software, StatisticalMethod |
| Version | 1.18.0 |
| In Bioconductor since | BioC 3.10 (R-3.6) (5 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 |
See More
| 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 |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | waddR_1.18.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/waddR |
| Source Repository (Developer Access) | git clone [email protected]:packages/waddR |
| Bioc Package Browser | https://code.bioconductor.org/browse/waddR/ |
| Package Short Url | https://bioconductor.org/packages/waddR/ |
| Package Downloads Report | Download Stats |