Discrete Choice Model Estimation
- Easy Logit Modeling (ELM) makes logit estimation easy to set up and interpret and saves analyst time.
- Our graphical user interface lets you construct and estimate various logit or extreme value (EV) models using drop down menus in place of arcane commands. It also facilitates comparison and evaluation of model estimation results.
- The initial release estimates multinomial logit and nested logit models.
- Future versions will include mixed logit, latent class, cross-nested logit, generalized nested logit and network GEV models.
- Registered users with current licenses will receive free upgrades, e-mail support and access to user group discussions.
- There's no need to choose between a feature-limited basic edition and an advanced edition that requiring the use of complex command structures.
Logit Models Currently Available:
- Multinomial Logit Model.
- Nested Logit Model.
Features:
- Data import, manipulation and estimation using drop down menus.
- Estimation output in tables allowing direct comparison and statistical testing across models and log files for each model specification.
- Nested logit estimation allows trees of any depth and any number of branches consistent with the data.
- The CURRENT published version of ELM has the following data
capabilities:
- Up to 2000 columns ( variables )
- Up to 200 Million data values on 32 bit Microsoft Windows. Limit applies to rows (for each alternative for each case) and columns (variables).
- A command line version is available to users that require it.*
* Access to the ELM engine is restricted to power users and no support is provided. Unlike the graphical user interface, the command line interface is not designed to be crash resistant, and incorrect commands and formatting may cause unrecoverable errors, or produce garbled results. It is unlikely but possible that you may even corrupt your data, so (as for all such software) you should have all your files backed up before using the command line version.
Access ELM Engine API