• SSGL: R package for implementing the spike-and-slab group lasso (SSGL) for linear regression with grouped variables and sparse generalized additive models (GAMs), as introduced in Bai et al. (2019). Software written by Joseph Antonelli.

  • NormalBetaPrime: R package for implementing normal means estimation, multiple hypothesis testing, linear regression, and variable selection using the normal-beta prime (NBP) prior, as introduced in Bai and Ghosh (2019) and Bai and Ghosh (2019). metacrandownloads

  • MBSP: R package for implementing multivariate regression using the Multivariate Bayesian Model with Shrinkage Priors (MBSP), as introduced in Bai and Ghosh (2018). metacran downloads