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mlogitBMA (version 0.1-6)

Bayesian Model Averaging for Multinomial Logit Models

Description

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.

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Version

Install

install.packages('mlogitBMA')

Monthly Downloads

251

Version

0.1-6

License

GPL (>= 2)

Maintainer

Hana Sevcikova

Last Published

December 11th, 2013

Functions in mlogitBMA (0.1-6)

summary.mnl.spec

Summary for a Specification Object
bic.mlogit

Bayesian Model Averaging for Multinomial Logit Models
heating

Heating Dataset
mnl.spec

Specification Object of a Multinomial Logit Model
estimate.mlogit

Multinomial Logit Estimation
mlogitBMA-internal

Internal Functions of mlogitBMA
mlogitBMA-package

Bayesian Model Averaging for Multinomial Logit Models
mlogit2logit

Converting Multinomial Logit Data into Binary Logit Data
summary.mnl

Summary for Results of a Multinomial Logit Estimation
summary.bic.mlogit

Summary and Plotting Functions