DOI: 10.18129/B9.bioc.microbiomeDASim  

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

Microbiome Differential Abundance Simulation

Bioconductor version: Development (3.19)

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")):


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PDF R Script microbiomeDASim
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biocViews Microbiome, Software, Visualization
Version 1.17.0
In Bioconductor since BioC 3.10 (R-3.6) (4 years)
License MIT + file LICENSE
Depends R (>= 3.6.0)
Imports graphics, ggplot2, MASS, tmvtnorm, Matrix, mvtnorm, pbapply, stats, phyloseq, metagenomeSeq, Biobase
Suggests testthat (>= 2.1.0), knitr, devtools
URL https://github.com/williazo/microbiomeDASim
BugReports https://github.com/williazo/microbiomeDASim/issues
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Source Package microbiomeDASim_1.17.0.tar.gz
Windows Binary microbiomeDASim_1.17.0.zip
macOS Binary (x86_64) microbiomeDASim_1.17.0.tgz
macOS Binary (arm64)
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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