I was looking at this very nice post about the lognormal GLMM from K. Magnusson.
I would like to compare the sigma and the sd_cluster__Intercept but I’m confused with the units.
In this example the model looks like the below and the output has a sigma = 0.51 and a sd_cluster__Intercept = 0.64.
y ~ 1 + TX + (1 | cluster), family = lognormal()
To compare the two errors I would turn them in to variances and then I would get the proportion of the one to the other like that,
sd_cluster__Intercept ^2/(sd_cluster__Intercept ^2 + sigma^2).
But since here we have lognormal, should I get the exp first?
I’m so confused.
Thanks for your time.