Hi, my model is training parameter mu, and tau

When setting parameter

```
ordered[N] mu
```

the model gives partially correct result. 1 of the 4 chains reveals the true value.

When setting parameter

```
real mu[N]
```

All chains sampels the correct results but in different order.

Becasue the order of result are’t the same, the rhat is really high.

Is there anyway to get correct results but with ordered results?

Because of different order in chains, I cannot get the 95% credit interval for the results. Or do I have to manually set the fit object to correct the results?