I was looking at the example_model
in rstanarm and a bit unclear about some of the output.
library(rstanarm)
example(example_model)
tail(example_model$stan_summary[, 1:2])
which gives the following output
#> mean se_mean
#> b[(Intercept) herd:14] 1.02671072 0.016200257
#> b[(Intercept) herd:15] -0.62123581 0.019984998
#> b[(Intercept) herd:_NEW_herd] 0.00726711 0.020258006
#> Sigma[herd:(Intercept),(Intercept)] 0.65040705 0.021683219
#> mean_PPD 1.77508929 0.006152789
#> log-posterior -114.76141580 0.268875928
Is b[(Intercept) herd:_NEW_herd]
here the mean that each group level intercept is drawn from? Or is it a posterior predictive distribution for a new hypothetical group?
I couldn’t find this documented, but would appreciate a reference!