The package is to provide a model based Bayesian method to characterize and simulate microbiome data. sparseDOSSA's model captures the marginal distribution of each microbial feature as a truncated, zeroinflated lognormal distribution, with parameters distributed as a parent lognormal distribution. The model can be effectively fit to reference microbial datasets in order to parameterize their microbes and communities, or to simulate synthetic datasets of similar population structure. Most importantly, it allows users to include both known featurefeature and featuremetadata correlation structures and thus provides a gold standard to enable benchmarking of statistical methods for metagenomic data analysis.
Package details 


Author  Boyu Ren<bor158@mail.harvard.edu>, Emma Schwager<emma.schwager@gmail.com>, Timothy Tickle<ttickle@hsph.harvard.edu>, Curtis Huttenhower <chuttenh@hsph.harvard.edu> 
Bioconductor views  Bayesian ImmunoOncology Metagenomics Microbiome Software 
Maintainer  Boyu Ren<bor158@mail.harvard.edu>, Emma Schwager <emma.schwager@gmail.com>, George Weingart<george.weingart@gmail.com> 
License  MIT + file LICENSE 
Version  1.14.0 
Package repository  View on Bioconductor 
Installation 
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