| bayeslm-package | Efficient sampling for Gaussian linear regression with arbitrary priors |
| bayeslm | Efficient sampling for Gaussian linear model with arbitrary priors |
| bayeslm.default | Efficient sampling for Gaussian linear model with arbitrary priors |
| bayeslm.formula | Efficient sampling for Gaussian linear model with arbitrary priors |
| hs_gibbs | Gibbs sampler of horseshoe regression |
| plot.MCMC | Plot posterior summary |
| predict.bayeslm.fit | Predict new data |
| summary.bayeslm.fit | Summarize fitted object of 'bayeslm' |
| summary.MCMC | Summarize posterior draws |