MCMC.OTU: Bayesian Analysis of Multivariate Counts Data in DNA Metabarcoding and Ecology
Version 1.0.10

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: http://www.bio.utexas.edu/research/matz_lab/matzlab/Methods_files/walkthroughExample_mcmcOTU_R.txt.

Package details

AuthorMikhail V. Matz
Date of publication2016-02-12 00:53:04
MaintainerMikhail V. Matz <[email protected]>
LicenseGPL-3
Version1.0.10
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MCMC.OTU")

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MCMC.OTU documentation built on May 29, 2017, 2:25 p.m.