Package: MCMC.OTU
Type: Package
Title: Bayesian Analysis of Multivariate Counts Data in DNA
        Metabarcoding and Ecology
Version: 1.0.10
Date: 2016-02-10
Author: Mikhail V. Matz
Maintainer: Mikhail V. Matz <matz@utexas.edu>
Description: 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. 
License: GPL-3
Depends: MCMCglmm,ggplot2,coda
NeedsCompilation: no
Packaged: 2016-02-11 19:23:29 UTC; c-monstr
Repository: CRAN
Date/Publication: 2016-02-12 00:53:04
Built: R 3.2.5; ; 2017-04-20 08:18:12 UTC; windows
