DirFactor is a Bayesian nonparametric model for analyzing microbiome data via OTU table. It assumes a Dependent Dirichlet processes prior on the probabilities of species and by MCMC simulation, identifies a set of low dimensional latent factors that explain most of the variability of the distributions of species across biological samples. The model adaptively selects the dimension of the latent factor space and enables nonparametric ordination of biological samples. The application of this package mainly focuses on ordination of microbial abundance data. On top of the traditional ordination plots, we provide a visualization of the uncertainty of the ordination as well.
|Author||Boyu Ren <[email protected]>|
|Maintainer||Boyu Ren <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.