Man pages for BayesS5
Bayesian Variable Selection Using Simplified Shotgun Stochastic Search with Screening (S5)

Bernoulli_UniformBernoulli-Uniform model prior
hyper_parTuning parameter selection for nonlocal priors
ind_fun_gZellner's g-prior
ind_fun_pemomthe log-marginal likelhood function based on peMoM priors and...
ind_fun_pimomthe log-marginal likelhood function based on piMoM priors
obj_fun_gthe log posterior distribution based on g-priors and inverse...
obj_fun_pemomthe log posterior distribution based on peMoM priors and...
obj_fun_pimomthe log posterior distribution based on piMoM priors and...
resultPosterior inference results from the object of S5
result_est_LSPosterior inference results from the object of S5
result_est_MAPPosterior inference results from the object of S5
S5Simplified shotgun stochastic search algorithm with screening...
S5_parallelParallel version of S5
SSSShotgun stochastic search algorithm (SSS)
UniformUniform model prior
BayesS5 documentation built on May 2, 2019, 2:51 p.m.