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Code Listing by stz Zeugner

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Bayesian Model Averaging for linear models under Zellner's g prior. Options include: fixed (BRIC, UIP, ...) and flexible g priors (Empirical Bayes, hyper-g), 5 kinds of model prior concepts, and model sampling via model enumeration or MCMC samplers (Metropolis-Hastings plain or reversible jump). Post-processing allows for inference according to different concepts (likelihood vs MCMC-based) and for plotting (posterior model size and coefficient...