mlogitBMA: Bayesian Model Averaging for Multinomial Logit Models

Provides a modified function bic.glm of the BMA package that can be applied to multinomial logit (MNL) data. The data is converted to binary logit using the Begg & Gray approximation. The package also contains functions for maximum likelihood estimation of MNL.

Version: 0.1-6
Depends: R (≥ 2.9.0), BMA, abind, maxLik
Suggests: mlogit
Published: 2013-12-11
Author: Hana Sevcikova, Adrian Raftery
Maintainer: Hana Sevcikova <hanas at uw.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
In views: Bayesian
CRAN checks: mlogitBMA results

Downloads:

Reference manual: mlogitBMA.pdf
Vignettes: Conversion Details
Package source: mlogitBMA_0.1-6.tar.gz
MacOS X binary: mlogitBMA_0.1-6.tgz
Windows binary: mlogitBMA_0.1-6.zip
Old sources: mlogitBMA archive