Man pages for BayesS5
Bayesian Variable Selection Using Simplified Shotgun Stochastic Search with Screening (S5)
| Bernoulli_Uniform | Bernoulli-Uniform model prior |
| hyper_par | Tuning parameter selection for nonlocal priors |
| ind_fun_g | Zellner's g-prior |
| ind_fun_NLfP | the log-marginal likelhood function based on the invers... |
| ind_fun_pemom | the log-marginal likelhood function based on peMoM priors and... |
| ind_fun_pimom | the log-marginal likelhood function based on piMoM priors |
| obj_fun_g | the log posterior distribution based on g-priors and inverse... |
| obj_fun_pemom | the log posterior distribution based on peMoM priors and... |
| obj_fun_pimom | the log posterior distribution based on piMoM priors and... |
| result | Posterior inference results from the object of S5 |
| result_est_LS | Posterior inference results from the object of S5 |
| result_est_MAP | Posterior inference results from the object of S5 |
| S5 | Simplified shotgun stochastic search algorithm with screening... |
| S5_additive | Simplified shotgun stochastic search algorithm with screening... |
| S5_parallel | Parallel version of S5 |
| SSS | Shotgun stochastic search algorithm (SSS) |
| Uniform | Uniform model prior |
