## MCMC.OTU: Bayesian analysis of multivariate counts data

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

Version: |
1.0.8 |

Depends: |
MCMCglmm, ggplot2 |

Published: |
2014-05-05 |

Author: |
Mikhail V. Matz |

Maintainer: |
Mikhail V. Matz <matz at utexas.edu> |

License: |
GPL-3 |

NeedsCompilation: |
no |

CRAN checks: |
MCMC.OTU results |

#### Downloads: