Given a very simple example:
fit <- brm(y|weights(z)~x, data=df)
If I use z as weights, or z*1000 by weights, not only do the uncertainties changed (I understand why this would be the case, since brms interprets weights as literal number of observations), but why does my regression line change as well?
Is there an appropriate scale for weighting? If I use the 0-1 scale the uncertainty is incredibly large…
Please also provide the following information in addition to your question:
- Operating System: Windows10
- brms Version: 2.10