Software for discrete choice model estimation
From DDL Wiki
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| + | ==Train's code== | ||
| + | Prof. Ken Train offers his Matlab codes using both maximum likelihood estimation (MLE) and Bayesian approach for mixed logit model. | ||
| + | *[http://elsa.berkeley.edu/~train/ Prof. Ken Train's website] | ||
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| + | ==Lenk's Code== | ||
| + | Prof. Peter Lenk offers his Gauss code using Bayesian methods for discrete choice model estimation. | ||
| + | *[http://webuser.bus.umich.edu/plenk/index.htm Prof. Peter Lenk's website] | ||
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| + | ==Biogeme== | ||
| + | A free software package provided by Prof. Michael Bierlaire using the maximum likelihood estimation for Generalized Extreme Value (GEV) models. It can be used for Multinomial Logit models, Nested logit models and other types of GEV models. | ||
| + | *[http://transp-or.epfl.ch/page63023.html Biogeme] | ||
| + | |||
| + | ==Discrete Choice Model (DCM) Package== | ||
| + | A free software package written in Ox (or using [http://www.oxmetrics.net/ OxMetrics]) which is a commercial statistics programming language. It is provided by Matias Eklof at Uppsala University and Melvyn Weeks at University of Cambridge. However, the package has not been updated since August 2005. | ||
| + | *[http://www.econ.cam.ac.uk/DCM/DCMWebPage.htm DCM package V1.1] | ||
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| statistics package || code || no || yes || no || || || free - require Ox or OxMetrics4 | | statistics package || code || no || yes || no || || || free - require Ox or OxMetrics4 | ||
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| + | ==External Links== | ||
| + | *[http://www.indiana.edu/~statmath/stat/all/cdvm/cdvm6.html Multinomial Logit Regression using STATA, SAS/CATMOD, LIMDEP and SPSS] | ||
Revision as of 20:56, 19 October 2007
Contents |
Train's code
Prof. Ken Train offers his Matlab codes using both maximum likelihood estimation (MLE) and Bayesian approach for mixed logit model.
Lenk's Code
Prof. Peter Lenk offers his Gauss code using Bayesian methods for discrete choice model estimation.
Biogeme
A free software package provided by Prof. Michael Bierlaire using the maximum likelihood estimation for Generalized Extreme Value (GEV) models. It can be used for Multinomial Logit models, Nested logit models and other types of GEV models.
Discrete Choice Model (DCM) Package
A free software package written in Ox (or using OxMetrics) which is a commercial statistics programming language. It is provided by Matias Eklof at Uppsala University and Melvyn Weeks at University of Cambridge. However, the package has not been updated since August 2005.
| Software | Type | User Interface | Design | Estimation | Prediction | Scalability | Hierarchical | Cost |
|---|---|---|---|---|---|---|---|---|
| Excel | spreadsheet | graphical | no | yes | maybe | poor | no | $ |
| Stata (conditional logit) | statistics package | graphical | no | yes | no | no | $ | |
| SAS | statistics package | code | yes | yes | excellent | no | $ | |
| SPSS | statistics package | graphical | no | yes | no | no | $ | |
| Sawtooth Software | conjoint package | graphical | yes | yes | yes | excellent | available | $$$ |
| StatWizards/NLOGIT | conjoint package | graphical | yes | yes | yes | no | $$$ | |
| NLOGIT | logit model package | code | no | yes | no | |||
| R/bayesm | statistics package | code | no | yes | no | poor | yes | free |
| Ken Train's Code | research code | code | no | yes | no | yes | free - require Matlab or Gauss | |
| Peter Lenk's Code | research code | code | yes | free - require GAUSS | ||||
| Biogeme | research program | input file | no | yes | no | free | ||
| DCM package | statistics package | code | no | yes | no | free - require Ox or OxMetrics4 |
