Mode

A sample of 453 individuals for 4 transport modes.

datasets

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>.

Yves Croissant

mlogit

Multinomial Logit Models

Mode function

A dataframe containing :
- choice: one of car, carpool, bus or rail,
- cost.z: cost of mode z,
- time.z: time of mode z.

Mode: Mode Choice

Description

Arguments

Format