| all_subsets | Compute all subsets of a set |
| bb | Bayesian bootstrap posterior sampler for the CDF |
| bgp_bc | Bayesian Gaussian processes with a Box-Cox transformation |
| blm_bc | Bayesian linear model with a Box-Cox transformation |
| blm_bc_hs | Bayesian linear model with a Box-Cox transformation and a horseshoe prior |
| bqr | Bayesian quantile regression |
| bsm_bc | Bayesian spline model with a Box-Cox transformation |
| computeTimeRemaining | Estimate the remaining time in the algorithm |
| concen_hbb | Posterior sampling algorithm for the HBB concentration hyperparameters |
| contract_grid | Grid contraction |
| Fz_fun | Compute the latent data CDF |
| g_bc | Box-Cox transformation |
| g_fun | Compute the transformation |
| g_inv_approx | Approximate inverse transformation |
| g_inv_bc | Inverse Box-Cox transformation |
| hbb | Hierarchical Bayesian bootstrap posterior sampler |
| plot_pptest | Plot point and interval predictions on testing data |
| rank_approx | Rank-based estimation of the linear regression coefficients |
| sampleFastGaussian | Sample a Gaussian vector using Bhattacharya et al. (2016) |
| sbgp | Semiparametric Bayesian Gaussian processes |
| sblm | Semiparametric Bayesian linear model |
| sblm_hs | Semiparametric Bayesian linear model with horseshoe priors for high-dimensional data |
| sblm_modelsel | Model selection for semiparametric Bayesian linear regression |
| sblm_ssvs | Semiparametric Bayesian linear model with stochastic search variable selection |
| sbqr | Semiparametric Bayesian quantile regression |
| sbsm | Semiparametric Bayesian spline model |
| simulate_tlm | Simulate a transformed linear model |
| sir_adjust | Post-processing with importance sampling |
| square_stabilize | Numerically stabilize the squared elements |
| SSR_gprior | Compute the sum-squared-residuals term under Zellner's g-prior |
| uni.slice | Univariate Slice Sampler from Neal (2008) |