Exists an option to avoid reference categories in logistic regression? I was wondering if there exists an option to avoid reference classes in logistic regression by transformation estimaters (especially the intercept)? Normally the intercept contains the information of all reference classes.
Is it possible to get three estimators for a variable with three categories?
It would be very much appreciated if someone has got an example.
Edit: I've read about models using intercept and having estimaters for each class.

This question has nothing to do with logistic regression per se, the problem and answers is the same for all generalized linear regression models. If you have only one categorical variable, just leave out the intercept, with more than one that will not be useful.  See the earlier posts for details:

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*Why is it necessary to "ignore" a level when applying sum contrasts?


*How to interpret regression function with categorical variable?


*Removing intercept from GLM for multiple factorial predictors only works for first factor in model
But, however you parametrize your model (there will be many ways, no perfect), you can always just test the contrasts of interest after the fit!
