Hi,

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.