microbiomeDASim
Microbiome Differential Abundance Simulation
Bioconductor version: 3.24 · Package version: 1.27.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("microbiomeDASim")Details
| Maintainer | Justin Williams <williazo@ucla.edu> |
| Author | Justin Williams, Hector Corrada Bravo, Jennifer Tom, Joseph Nathaniel Paulson |
| License | MIT + file LICENSE |
| URL | https://github.com/williazo/microbiomeDASim |
| Bug Reports | https://github.com/williazo/microbiomeDASim/issues |
| Downloads rank | 364 |
| Source branch | devel |
| biocViews | Microbiome, Software, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | microbiomeDASim_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