▽CRAN Task View: Bayesian Inference ●12/15 07:25 Version:2010-12-14 BMS implements Bayesian Model Averaging for univariate linear models under Zellner窶冱 g prior. Options include fixed and flexible g priors, 5 kinds of model prior concepts, and model sampling via model enumeration or MCMC samplers. Post-processing allows for inference according to different concepts and for plotting dclone provides low level functions for implementing maximum lik
