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BMS - An R package for Model Averaging
BMS 0.3.1 released | modelaveraging
https://modelaveraging.wordpress.com/2013/10/25/bms-0-3-1-released
BMS – An R package for Model Averaging. Comments 1 Comment on BMS 0.3.1 released. BMS 03.1 released. Version 0.3.1 of the BMS package for Bayesian Model Averaging has been released on 5 September 2012. This is a maintenance release for compliance with recent CRAN guidelines. The BMS package therefore is again available on CRAN. In addition to bms.zeugner.eu. Changes with respect to Version 0.3.0. Guidelines and is easily therefore installable on R versions 2.15 and above. Might be of help. If you are run...
February | 2011 | modelaveraging
https://modelaveraging.wordpress.com/2011/02
BMS – An R package for Model Averaging. Monthly Archives: February 2011. Comments No Comments on Reproducing the BMA exercise of Fernández, Ley and Steel (2001) in R. Reproducing the BMA exercise of Fernández, Ley and Steel (2001) in R. In their paper Model uncertainty in cross-country growth regressions. Journal of Applied Econometrics 2001), Fernández, Ley and Steel (FLS) demonstrate the use of Bayesian Model Averaging (BMA) for a cross-section economic growth data set. A video tutorial (09:56). For sa...
Computing the degree of dependency (jointness) among explanatory variables using BMS | modelaveraging
https://modelaveraging.wordpress.com/2012/07/23/computing-the-degree-of-dependency-jointness-among-explanatory-variables-using-bms
BMS – An R package for Model Averaging. Comments No Comments on Computing the degree of dependency (jointness) among explanatory variables using BMS. Computing the degree of dependency (jointness) among explanatory variables using BMS. Doppelhofer, G. and Weeks, M. (2009), ‘Jointness of growth determinants’, Journal of Applied Econometrics 24(2), 209–244. This entry was posted in Advanced Tutorials. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:.
May | 2011 | modelaveraging
https://modelaveraging.wordpress.com/2011/05
BMS – An R package for Model Averaging. Monthly Archives: May 2011. Comments No Comments on BMS and the Fixed Effects Estimator – A Tutorial. BMS and the Fixed Effects Estimator – A Tutorial. This tutorial illustrates how to use Bayesian Model Averaging (BMA) with panel data using the. Fixed Effects Estimation by Demeaning the Data. Fixed Effects Estimation with Dummy Variables. A pdf version of this tutorial is available here. Averaging employing the RE estimator please refer to Moral-Benito (2011).
BMS 0.3.3 released | modelaveraging
https://modelaveraging.wordpress.com/2013/11/22/bms-0-3-3-released
BMS – An R package for Model Averaging. Comments No Comments on BMS 0.3.3 released. BMS 03.3 released. This is a bugfix update. No visible changes with respect to BMS version 0.3.1. This entry was posted in News. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. Notify me of new comments via email.
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BMS - Blog
http://bms.zeugner.eu/blog
Presents comments on updates, tutorials, and descriptions of extending BMS (e.g. to custom priors or panels). See the table of contents below. BMS 03.3 released. Fri, 22 Nov 2013 12:39:23 CET. This is a bugfix update. No visible changes with respect to BMS version 0.3.1.Filed under: News. BMS 03.1 released. Fri, 25 Oct 2013 22:26:39 CET. BMS 03.0 Released. Thu, 05 May 2011 22:27:03 CET. Computing the degree of dependency (jointness) among explanatory variables using BMS. Mon, 23 Jul 2012 22:14:38 CET.
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modelaveraging | BMS – An R package for Model Averaging
BMS – An R package for Model Averaging. Comments No Comments on BMS 0.3.3 released. BMS 03.3 released. This is a bugfix update. No visible changes with respect to BMS version 0.3.1. Comments 1 Comment on BMS 0.3.1 released. BMS 03.1 released. Version 0.3.1 of the BMS package for Bayesian Model Averaging has been released on 5 September 2012. This is a maintenance release for compliance with recent CRAN guidelines. The BMS package therefore is again available on CRAN. In addition to bms.zeugner.eu. If you...
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