Xlogit

Latest version: v0.2.7

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0.2.7

- Fixed bug introduced in v0.2.6, which skipped estimation of standard errors by default in Multinomial Logit
- To improve a bit speed of the Mixed Logit estimation, the standard errors of the initialization using a MultinomialLogit model were skipped.

0.2.6

- Implementation of option to skip standard errors by gc-axa
**Note: This version introduced a small bug that skipped by default the estimation of standard errors in MultinomialLogit models. This was fixed in v0.2.7, which I recommend using instead of v0.2.6.**

0.2.5

- Implement additive term in the utility function to facilitate the modeling of coefficients kept fixed during estimation
- Migrated from TravisCI to GitHub Actions

0.2.4

- Fix in import from scipy.stats

0.2.3

- Fixes 12

0.2.2

- Fix small bug in predict (11)

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