# Estimation of multinomial logit models in R : The mlogit Package

@inproceedings{Croissant2010EstimationOM, title={Estimation of multinomial logit models in R : The mlogit Package}, author={Yves Croissant}, year={2010} }

mlogit is a package for R which enables the estimation of the multinomial logit models with individual and/or alternative specific variables. The main extensions of the basic multinomial model (heteroscedastic, nested and random parameter models) are implemented.

## 156 Citations

Multinomial Logit Models with Individual Heterogeneity in R : The gmnl Package

- Economics, Mathematics
- 2015

gmnl is a package for R, which allows to estimate multinomial logit models with unobserved heterogeneity across individuals for cross-sectional and panel data. The models supported by gmnl are MNL,…

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A Comparison of Model Selection Procedures for Latent Class Discrete Choice Models

- Economics, Business
- 2018

The use of the latent class model (LCM) is a popular way of modelling discrete choices. It is a good alternative to the traditional multinomial logit model (MNL), but the larger number of parameters…

Discrete Choice Data with Unobserved Heterogeneity: A Conditional Binary Quantile Model

- EconomicsPolitical Analysis
- 2019

In political science, data with heterogeneous units are used in many studies, such as those involving legislative proposals in different policy areas, electoral choices by different types of voters,…

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- Computer Science
- 2012

A Mahalanobis distance based, Monte Carlo goodness of fit test that can depend on arbitrary features of the observed network data and covariates is proposed and a modified model distance (MMD) estimator is devised that can help researchers to choose among a set of model elaborations.

Conjugate generalized linear mixed models with applications

- Computer Science
- 2017

This thesis focuses on the development of conjugate generalized linear mixed models (CGLMMs), which is a computationally efficient modelling framework for longitudinal and multilevel data where the likelihood can be expressed in closedform.

Penalized Estimation of Sparse Directed Acyclic Graphs From Categorical Data Under Intervention

- Computer Science
- 2014

A blockwise coordinate descent algorithm is developed to solve the penalized likelihood problem subject to the acyclicity constraint of a DAG and shows very competitive performance compared to existing methods.

Effect of analytical units and aggregation rules on mode choice models

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The quality of mode choice prediction is essential on the way to a resource efficient transport system. Commonly, mode choice is modelled on the trip or tour level, but a systematic evaluation of the…

Recovering Forecast Distributions of Crop Composition: Method and Application to Kentucky Agriculture

- EconomicsSustainability
- 2020

This paper proposes a novel application of the multinomial logit (MNL) model using Cropland Data Layer and field-level boundaries to estimate crop transition probabilities, which are used to generate…

Income-leisure preferences in New Zealand: 1988-2013

- Economics
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This paper reports estimates for discrete choice labour supply models for New Zealand wage and salary earners for four periods: 1988/89-1992/93, 1993/94-1997/98, 2000/01-2007/08, and 2008/09-2012/13.…

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