Interpretation of hurdle models with estimated marginal means
My goal is to interpret the coefficients of a hurdle model through estimated marginal means. I prefer to interpret probabilities (back-transformed from the logit scale), rather than log-odds (model coefficients) or odd-ratio (exp(log-odds)). I would like to use emmeans() for this goal, as it is compatible with many models, and I have experience using it … Read more