Click on the name of the software to get a description plus a link for downloading the code, manual, and sample data.

**** MATLAB Codes ****

Mixed Logit with a Flexible Mixing Distribution

Mixed logit estimation by maximum simulated likelihood allows for panel or cross-sectional data.

Mixed logit estimation by Bayesian methods, also called hierarchical Bayes, allows for panel or cross-sectional data, bounded and unbounded distributions, and correlated or uncorrelated coefficients.

**** R codes ****
written by other researchers based on my Matlab and Gauss codes:

NEW: Mixed logit estimation, including models in willingness-to-pay(WTP)-space as well as preference-space, with fast estimation by maximum simulated likelihood.
Written by Prof. John Helveston.
Code
Documentation

Mixed logit estimation by maximum simulated likelihood Written by Yves Croissant (yves.croissant at univ-reunion.fr).

Mixed logit estimation by Bayesian methods, also called hierarchical Bayes. Written by Jeff Dumont (Jeff.Dumont@rsginc.com).

**** GAUSS Codes ****

Mixed logit estimation for cross-sectional data using maximum simulated likelihood

Mixed logit estimation for panel data using maximum simulated likelihood

Mixed logit estimation by Bayesian methods, also called hierarchical Bayes, allows for panel or cross-sectional data, bounded and unbounded distributions, and correlated or uncorrelated coefficients.

(Mixed logit is also called random parameters logit and error-components logit.)