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a function in the ALOGIT can be used to make comparisons between different model variants;
![Alogit正版软件入门教程](//l.b2b168.com/2020/06/18/16/202006181652223170044.jpg)
in particular, files can be output in very flexible ways (e.g. reformatted, respecified, sorted) for processing by other software.
![Alogit正版软件入门教程](//l.b2b168.com/2019/07/18/10/201907181030476922774.jpg)
ALOGIT estimates the parameters of generalised logit models. The main generalisations are
- tree (nested, hierarchical) models allowing the alternatives in the model to be related in less retrained ways than in simple logit models but still retaining ease of use and speed of operation;
- mixed logit models, implemented using the flexible ‘error components’ specification, which works with either linear or the exponentiated form, which allows, for instance log-normal disturbances in the coefficients.
Mixed logit models are possible only with the EC variant of the software.
ALOGIT performs four key functions.
![Alogit正版软件入门教程](//l.b2b168.com/2019/07/18/10/201907181030407449034.jpg)
ALOGIT estimates the parameters of generalised logit models. The main generalisations are
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