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microbiomeDASim

Microbiome Differential Abundance Simulation

Bioconductor version: 3.24 · Package version: 1.27.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

A toolkit for simulating differential microbiome data designed for longitudinal analyses. Several functional forms may be specified for the mean trend. Observations are drawn from a multivariate normal model. The objective of this package is to be able to simulate data in order to accurately compare different longitudinal methods for differential abundance.

DOI: 10.18129/B9.bioc.microbiomeDASim

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("microbiomeDASim")

Details

MaintainerJustin Williams <williazo@ucla.edu>
AuthorJustin Williams, Hector Corrada Bravo, Jennifer Tom, Joseph Nathaniel Paulson
LicenseMIT + file LICENSE
URLhttps://github.com/williazo/microbiomeDASim
Bug Reportshttps://github.com/williazo/microbiomeDASim/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsMicrobiome, Software, Visualization
Package Short Url https://bioconductor.org/packages/microbiomeDASim/

Citation

From within R, enter citation("microbiomeDASim"):

Justin Williams, Hector Corrada Bravo, Jennifer Tom, Joseph Nathaniel Paulson. microbiomeDASim: Microbiome Differential Abundance Simulation. doi:10.18129/B9.bioc.microbiomeDASim, R package version 1.27.0, https://bioconductor.org/packages/microbiomeDASim.

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

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagemicrobiomeDASim_1.27.0.tar.gz
Windows binary (x86_64)microbiomeDASim_1.27.0.zip
macOS binary (arm64)microbiomeDASim_1.27.0.tgz
macOS binary (x86_64)microbiomeDASim_1.27.0.tgz
Dependencies

Depends: R (>= 3.6.0)

Imports: graphics, ggplot2, MASS, tmvtnorm, Matrix, mvtnorm, pbapply, stats, phyloseq, metagenomeSeq, Biobase

Suggests: testthat (>= 2.1.0), knitr, devtools