This package is developed to simulate microbiome data for longitudinal differential abundance analyses. Microbiome data have a variety of features that make typical simulation methods inappropriate. For an in-depth description of the types of problems this simulation package is designed to solve, plus basics of the functionality please refer to the F1000 manuscript f1000research.20660.2.
To install the microbiomeDASim
package the latest release version is
available from Bioconductor
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("microbiomeDASim")
Alternatively to use the latest development version from Bioconductor use the following commands
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("microbiomeDASim", version="devel")
An interactive examples for how to simulate data from a multivariate
normal distribution and fit a trend line using
metagenomeSeq::fitTimeSeries
are available in the inst/scripts
directory.
This notebook can be run interactively using Google Collab by clicking the “Open in Colab” marker at the top of the notebook.