microbiomeDASim

This is the released version of microbiomeDASim; for the devel version, see microbiomeDASim.

Microbiome Differential Abundance Simulation


Bioconductor version: Release (3.20)

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")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("microbiomeDASim")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Microbiome, Software, Visualization
Version 1.20.0
In Bioconductor since BioC 3.10 (R-3.6) (5 years)
License MIT + file LICENSE
Depends R (>= 3.6.0)
Imports graphics, ggplot2, MASS, tmvtnorm, Matrix, mvtnorm, pbapply, stats, phyloseq, metagenomeSeq, Biobase
System Requirements
URL https://github.com/williazo/microbiomeDASim
Bug Reports https://github.com/williazo/microbiomeDASim/issues
See More
Suggests testthat (>= 2.1.0), knitr, devtools
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64) microbiomeDASim_1.20.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/microbiomeDASim
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/microbiomeDASim
Bioc Package Browser https://code.bioconductor.org/browse/microbiomeDASim/
Package Short Url https://bioconductor.org/packages/microbiomeDASim/
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