Xlogit

Latest version: v0.2.7

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0.2.1

- Fixed bug with prediction for panel data

0.2.0

- WTP models for Mixed Logit and Multinomial Logit implemented with the support of jhelvy and crforsythe
- Optimized probabilty product across panels
- Optimized `utils.wide_to_long`
- Added AI-generated logo :)

0.1.9

- Significant improvements in estimation speed for Mixed Logit thanks to jhelvy's formulation for gradient and log-likelihood.

0.1.8

This release includes the following features implemented by crforsythe
- Numerical hessian
- Robust standard errors

0.1.7

- Added ability to batch across samples (choice situations). This will significantly help when working with large datasets
- Changed the mechanism to handle panels. Instead of adding extra dimensions, now the product for probabilities is done across panel ids.
- Fixed bugs

0.1.6

- Fix avail parameter for panel data in Mixed Logit

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