Comments (1)
Thanks! It's still a work in progress, but it's starting to get more stable now. I'm currently improving the prediction functions, which will eventually just be a predict() method for logitr class objects (models estimated using logitr).
Anyway, unless I'm misunderstanding your question, you should not have an intercept in the model. For categorical variables, one level should be set as the reference level (see here for example).
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Related Issues (20)
- Using logitr to estimate heterogeneity in customers time-preferences HOT 4
- Unexpected error when displaying summary HOT 19
- Error in X_chosen[data$obsID, ] : subscript out of bounds HOT 11
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- Individual part-worth estimates HOT 2
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