MIMIX (MIcrobiome MIXed-effects) is a Bayesian hierarchical model for the analysis of high-throughput sequencing abundance data from designed experiments. It achieves four scientific objectives:
Grantham, NS, Reich, BJ, Borer, ET, Gross, K (2019). MIMIX: a Bayesian Mixed-Effects Model for Microbiome Data from Designed Experiments. Journal of the American Statistical Society (JASA).
Code available at github.com/nsgrantham/mimix.