Multinomial Logit Models
Correlation structure of the random parameters
Functions used to describe the characteristics of estimated random par...
Marginal effects of the covariates
Indicates whether the formula contains an intercept
Hausman-McFadden Test
Compute the log-sum or inclusive value/utility
Methods for mlogit objects
Some deprecated functions, especially mlogit.data, index and `mFor...
mlogit package: estimation of random utility discrete choice models by...
Non-linear minimization routine
Multinomial logit model
Compute the model matrix for RUM
Plot of the distribution of estimated random parameters
Objects exported from other packages
random parameter objects
The three tests for mlogit models
vcov method for mlogit objects
Maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) <doi:10.18637/jss.v095.i11> and the underlying methods in Train (2009) <doi:10.1017/CBO9780511805271>.
Useful links