rgm - Advanced Inference with Random Graphical Models
Implements Random Graphical Models for multivariate data
analysis across multiple environments, providing tools for
exploring network interactions and structural relationships.
Capabilities include joint inference across environments,
integration of external covariates, and a Bayesian framework
for uncertainty quantification. Applicable in various fields,
including microbiome analysis. Methods based on Vinciotti, V.,
Wit, E. C., and Richter, F. (2026) "Random Graphical Model of
Microbiome Interactions in Related Environments"
<doi:10.1007/s13253-024-00638-6>.
