Version of 0.3.0 of the Bayesian Model Averaging package BMS has been released. Apart from numerous bugfixes, BMS 0.3.0 includes two main additions: The ability in bms to keep certain fixed regressors to be included in all sampled models The option t...
Blog Archives
Replicating the Body Fat Example from "Bayesian Model Averaging: A Tutorial" (1999) with BMS in R
In their paper Bayesian Model Averaging: A Tutorial (Statistical Science 14(4), 1999, pp. 382-401), Hoeting, Madigan, Raftery and Volinsky (HMRV) do an exercise in Bayesian Model Averaging (BMA) at pp.394-397 in estimating body fat data from Johnson (...
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. This tutor...
The bms Function Explained
This text 'pedagocially' explains how the bms function works code-wise and is intended for people who prefer to program customized adjustments of the bms package. bms is the workhorse function to do the sampling part of Bayesian Model Averaging in the...
Bayesian Model Averaging (BMA) with uncertain Spatial Effects
This file illustrates the computer code to use spatial filtering in the context of Bayesian Model Averaging (BMA). For more details and in case you use the code please cite Crespo Cuaresma and Feldkircher (2010). In addition, this tutorial exists as ...
The BMS Add-ons Section
This section will be updated irregularly with pages on applications of BMS. It intends to concentrate on two things: Some add-on code to extend the functionality of BMS in a certain direction, such as e.g. BMA and spatial filtering Usage of BMS to re...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
