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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
In views: Bayesian
CRAN checks: mlogitBMA results


Reference manual: mlogitBMA.pdf
Vignettes: Conversion Details
Package source: mlogitBMA_0.1-6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: mlogitBMA_0.1-6.tgz, r-oldrel: mlogitBMA_0.1-6.tgz
Old sources: mlogitBMA archive


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