lognormal() defines a one-response positive continuous distribution with
formulas for log-location mu and log-scale sigma.
Details
The model is defined on the log response scale:
log(y) ~ Normal(mu, sigma^2). The fitted distributional parameter mu is
therefore the mean of log(y), not the arithmetic mean of y.
Ordinary mu random intercepts such as (1 | id) are supported in the
first positive-continuous mixed-model slice; the independent numeric slope
(0 + x | id) also fits but is a recovery-grade route only (trust the
point estimate, not the interval).