Bayesian model averaging for linear models with a wide choice of (customizable) priors. Builtin priors include coefficient priors (fixed, flexible and hyperg priors), 5 kinds of model priors, moreover model sampling by enumeration or various MCMC approaches. Postprocessing functions allow for inferring posterior inclusion and model probabilities, various moments, coefficient and predictive densities. Plotting functions available for posterior model size, MCMC convergence, predictive and coefficient densities, best models representation, BMA comparison.
Package details 


Author  Martin Feldkircher and Stefan Zeugner 
Maintainer  Stefan Zeugner <bms@zeugner.eu> 
License  Artistic2.0 
Version  0.3.4 
URL  http://bms.zeugner.eu/ 
Package repository  View on CRAN 
Installation 
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