Hi there,

probably this is a very basic question. I would like to do a meta-analysis with rstanarm. I get the output below.

I was wondering why the population intercept of 5.4 (Median equals Mean in this case) does not equal the mean of the posterior predictive distribution, which is 5.6, and how to interpret the population level intercept of 5.4?

```
stan_lmer
family: gaussian [identity]
formula: data ~ 1 + (1 | WWTP)
observations: 307
------
Median MAD_SD
(Intercept) 5.4 0.1
sigma 1.2 0.1
Error terms:
Groups Name Std.Dev.
WWTP (Intercept) 0.68
Residual 1.20
Num. levels: WWTP 45
Sample avg. posterior predictive distribution of y:
Median MAD_SD
mean_PPD 5.6 0.1
------
For info on the priors used see help('prior_summary.stanreg').
```