BHAM: A package to fit Bayesian Hierarchical Additive Models for High Dimensional Application

BHAM is a freely avaible R pakcage that implments Bayesian hierarchical additive models for high-dimensional clinical and genomic data. The package includes functions that generlized additive model, and Cox additive model with the spike-and-slab LASSO prior. These functions implements scalable and stable algorithms to estimate parameters. BHAM also provides utility functions to construct additive models in high dimensional settings, select optimal models, summarize bi-level variable selection results, and visualize nonlinear effects. The package can facilitate flexible modeling of large-scale molecular data, i.e. detecting succeptable variables and inforing disease diagnostic and prognostic.