A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes - Koslovsky et al. (2020), Annals of Applied Stats, 14(3), 1471-1492.
As of 9/6/23, the updated software package for
“A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes”, by MD Koslovsky, K Hoffman, C Daniel-MacDougall, and M Vannucci (AOAS 2020)
can be found at https://github.com/mkoslovsky/MicroBVS.
A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes - Koslovsky et al. (2020), Annals of Applied Stats, 14(3), 1471-1492.