summary.mnl

Object of class <code><a rd-options="" href="/link/mnl?package=mlogitBMA&version=0.1-6" data-mini-rdoc="mlogitBMA::mnl">mnl</a></code>

object

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Gives a summary for an object of class <code><a rd-options="" href="/link/mnl?package=mlogitBMA&version=0.1-6" data-mini-rdoc="mlogitBMA::mnl">mnl</a></code> which contains results of a multinomial logit estimation.

 print

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.

Hana Sevcikova

mlogitBMA

Bayesian Model Averaging for Multinomial Logit Models

summary.mnl function

Object of class <code><a rd-options='' href='mnl'>mnl</a></code>

Gives a summary for an object of class <code><a rd-options='' href='mnl'>mnl</a></code> which contains results of a multinomial logit estimation.

summary.mnl: Summary for Results of a Multinomial Logit Estimation

Description

Usage

Arguments