Bayesian Analysis of Multivariate Counts Data in DNA Metabarcoding and Ecology

Poisson-lognormal generalized linear mixed model analysis of multivariate counts data using MCMC, aiming to infer the changes in relative proportions of individual variables. The package was originally designed for sequence-based analysis of microbial communities ("metabarcoding", variables = operational taxonomic units, OTUs), but can be used for other types of multivariate counts, such as in ecological applications (variables = species). The results are summarized and plotted using 'ggplot2' functions. Includes functions to remove sample and variable outliers and reformat counts into normalized log-transformed values for correlation and principal component/coordinate analysis. Walkthrough and examples:


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.10 by Mikhail V. Matz, 4 years ago

Browse source code at

Authors: Mikhail V. Matz

Documentation:   PDF Manual  

GPL-3 license

Depends on MCMCglmm, ggplot2, coda

See at CRAN