gFormula

is.gFormula

model.frame.gFormula

model.matrix.gFormula

a formula for the <code>gFormula</code> function, for the model.matrix method, a <code>gFormula</code> object,

object

formula

data

see <code><a rd-options="Formula" href="/link/Formula?package=gmnl&version=1.1-3.2&to=Formula" data-mini-rdoc="Formula::Formula">Formula</a></code>,

number of classes for the latent class model,

Four kind of variables are used in multinomial choice models with individual heterogeneity: alternative
specific and individual specific variables; variables for the mean of the random parameters (deterministic taste variations), and variables
for the scale function. <code>gFormula</code> deals with this type of models using suitable methods to extract
the elements of the model.

An implementation of maximum simulated likelihood method for the
estimation of multinomial logit models with random coefficients as presented by Sarrias and Daziano (2017) <doi:10.18637/jss.v079.i02>.
Specifically, it allows estimating models with continuous heterogeneity
such as the mixed multinomial logit and the generalized multinomial logit.
It also allows estimating models with discrete heterogeneity such as the
latent class and the mixed-mixed multinomial logit model.

Mauricio Sarrias

gmnl

Multinomial Logit Models with Random Parameters

Ricardo Daziano

Yves Croissant

gFormula function

see <code><a rd-options='Formula' href='Formula'>Formula</a></code>,

gFormula: Model Formula for Multinomial Logit Models

Description

Usage

Arguments