Timeline for Generalized Additive Model interpretation with ordered categorical family in R
Current License: CC BY-SA 3.0
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Oct 24, 2019 at 15:42 | comment | added | user206892 | Just to clarify: Since, as RNB pointed out, the latent variable follows a logistic distribution, the linear predictor represents the log odds of belonging to a higher category, correct? For example, as $x_1$ increases, we would see a roughly linear increase in the log odds of belonging to a higher category. | |
Sep 13, 2016 at 21:57 | history | edited | Gavin Simpson | CC BY-SA 3.0 |
added 7 characters in body
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Sep 13, 2016 at 21:31 | history | answered | Gavin Simpson | CC BY-SA 3.0 |