| GBASS-package | GBASS: Generalized Bayesian Adaptive Smoothing Splines |
| build_GBP | Construct a prior specification for GBASS |
| build_GIG | Construct a prior specification for GBASS |
| build_prior | Construct a prior specification for GBASS |
| GBASS | GBASS: Generalized Bayesian Adaptive Smoothing Splines |
| gbass | Generalized Bayesian MARS |
| gbass2bass | Convert GBASS object to BASS-like object |
| gm2bm | Convert GBASS object to BASS-like object |
| gsobol | Sobol decomposition for GBASS models |
| hbass | HBASS - Bayesian MARS with Horseshoe or Strawderman-Berger likelihood |
| nwbass | Generalized Bayesian MARS with a Normal-Wald likelihood |
| nwbass2 | Generalized Bayesian MARS with a Normal-Wald likelihood |
| nw_est_mom | Method-of-moments estimation for the Normal-Wald distribution |
| nw_gamma_prior | Calibrate a prior for the Normal-Wald gamma parameter |
| nw_triangle | Plot Normal-Wald shape parameters on the asymmetry-steepness triangle |
| plot.gbass | Plot method for gbass objects |
| predict.gbass | Predict method for GBASS objects |
| print.gbass | Print a gbass object |
| qbass | QBASS - Bayesian MARS with an asymmetric Laplace likelihood |
| rgig2 | Generalized Inverse Gaussian Generator |
| rmhn | Random generation from the modified half-normal distribution |
| tbass | TBASS - Bayesian MARS with a Student's t likelihood |