A Review of the `BMS' Package for R
This paper describes the relative merits and attractiveness of the newest Bayesian model averaging package, BMS, available in the statistical software R to implement a Bayesian model averaging exercise. This package provides the user with a wide range of customizable priors for conducting a BMA analysis, provides ample graphs to visualize the results and offers several alternative model search mechanisms.
|Date of creation:||2011|
|Date of revision:|
|Publication status:||Forthcoming: Working|
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"Using R to Teach Econometrics,"
Monash Econometrics and Business Statistics Working Papers
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- Martin Feldkircher & Stefan Zeugner, 2009. "Benchmark Priors Revisited; On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging," IMF Working Papers 09/202, International Monetary Fund.
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