Version 0.3.1 of the BMS package for Bayesian Model Averaging has been released. 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... [Read more...]

Capturing the dependence between explanatory variables in the posterior distribution while implementing a Bayesian analysis is crucial. Taking such a dependence into account reveals the sensitivity of posterior distributions of parameters to depen... [Read more...]

This tutorial should illustrate how to employ bms with panel data. For the purpose of illustration we will use the data put forward in Moral-Benito (2011) and made publicly available at [Read more...]

This tutorial illustrates how to use Bayesian Model Averaging (BMA) with panel data using the R package BMS.Contents Introduction Fixed Effects Estimation by Demeaning the Data Fixed Effects Estimation with Dummy Variables Bibliography Downloads A ... [Read more...]

Bayesian Model Averaging (BMA) allows for any kind of model prior distributions. While the R package BMS has built-in support for several types of commonly used priors, there may be the need for constructing a custom model prior in a particular exerci... [Read more...]