Package: MCMC.OTU
Type: Package
Title: Bayesian analysis of multivariate counts data
Version: 1.0.8
Date: 2014-04-27
Author: Mikhail V. Matz
Maintainer: Mikhail V. Matz <matz@utexas.edu>
Description: This package implements 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
Packaged: 2014-05-04 21:28:02 UTC; c-monster
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-05 07:09:39
Built: R 3.1.0; ; 2014-05-05 09:16:45 UTC; unix
