A Review of the `BMS' Package for R
AbstractThis 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.
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Bibliographic InfoPaper provided by University of Miami, Department of Economics in its series Working Papers with number 2011-8.
Length: 11 pages
Date of creation: 2011
Date of revision:
Publication status: Forthcoming: Working
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Model Averaging; Zellner's g Prior; BMS;
Find related papers by JEL classification:
- C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-09-16 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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