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
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

Documentation:

Reference manual:	mlogitBMA.pdf
Vignettes:	Conversion Details

Downloads:

Package source:	mlogitBMA_0.1-7.tar.gz
Windows binaries:	r-devel: mlogitBMA_0.1-7.zip, r-release: mlogitBMA_0.1-7.zip, r-oldrel: mlogitBMA_0.1-7.zip
macOS binaries:	r-release (arm64): mlogitBMA_0.1-6.tgz, r-oldrel (arm64): mlogitBMA_0.1-7.tgz, r-release (x86_64): mlogitBMA_0.1-6.tgz, r-oldrel (x86_64): mlogitBMA_0.1-7.tgz
Old sources:	mlogitBMA archive

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