MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package
Koslovsky, Matthew D.; Vannucci, Marina
Understanding the relation between the human microbiome and modulating factors, such as diet, may help researchers design intervention strategies that promote and maintain healthy microbial communities. Numerous analytical tools are available to help identify these relations, oftentimes via automated variable selection methods. However, available tools frequently ignore evolutionary relations among microbial taxa, potential relations between modulating factors, as well as model selection uncertainty.