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: 0.1-7
Depends: R (≥ 2.9.0), BMA, abind, maxLik
Suggests: mlogit
Published: 2022-04-13
DOI: 10.32614/CRAN.package.mlogitBMA
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_0.1-7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlogitBMA_0.1-7.tgz, r-oldrel (arm64): mlogitBMA_0.1-7.tgz, r-release (x86_64): mlogitBMA_0.1-7.tgz, r-oldrel (x86_64): mlogitBMA_0.1-7.tgz
Old sources: mlogitBMA archive


Please use the canonical form to link to this page.