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microbiomeDASim

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

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10

Microbiome Differential Abundance Simulation

DOI: 10.18129/B9.bioc.microbiomeDASim

Bioconductor version: Development (3.24)

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.

Author: Justin Williams, Hector Corrada Bravo, Jennifer Tom, Joseph Nathaniel Paulson

Maintainer: Justin Williams <williazo at ucla.edu>

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.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("microbiomeDASim")

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("microbiomeDASim")

Details

Package Archives

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