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This might be too hard to code in a general way, but might we/you make zoid hierarchical?
For example, I have a dataset w 4 discrete temperature treatments (10, 13, 15, and 18 degrees C), with many observations in each; each observation is a set of proportions divided among 4 possible categories. If I treat temperature as a continuous predictor, I'm pretty sure zoid (and, for that matter, a linear model or anything similar) will have the pseudoreplication problem: each observation is treated as independent, when really what I should be doing is asking whether the mean of each treatment is responding to the predictor variable (here, temperature).
If zoid could handle the syntax of stan_glm (or similar), we could do something like formula = ~ treatment + (1 | group), and make it work for a more general class of problems. Just an idea.
The text was updated successfully, but these errors were encountered:
This might be too hard to code in a general way, but might we/you make
zoid
hierarchical?For example, I have a dataset w 4 discrete temperature treatments (10, 13, 15, and 18 degrees C), with many observations in each; each observation is a set of proportions divided among 4 possible categories. If I treat temperature as a continuous predictor, I'm pretty sure
zoid
(and, for that matter, a linear model or anything similar) will have the pseudoreplication problem: each observation is treated as independent, when really what I should be doing is asking whether the mean of each treatment is responding to the predictor variable (here, temperature).If
zoid
could handle the syntax ofstan_glm
(or similar), we could do something likeformula = ~ treatment + (1 | group)
, and make it work for a more general class of problems. Just an idea.The text was updated successfully, but these errors were encountered: