Good morning,

How do I proceed to extract only the variational posterior estimates obtained after running variational inference

```
m <- stan_model(model_code = 'parameters {real y;} model {y ~ normal(0,1);}')
f <- sampling(modelstan)
fit_samples = extract(f)
fit_samples$y[1]
```

In the code chunk above, I extract the samples obtained with an MCMC using the variational proposal. My question is how to access the mean and the covarianance of this independent proposal, i.e., the outputs of the variational inference algorithm ran in the first place.

Thanks a lot for this

Belhal