Hi, thanks for the patience!

The problem of the steady state seems solved (no more red dots). however, the mode check plot and the estimation results are still strange. The likelihood is very small and the Hessian eigenvalues are equal! what does it mean?

This is from the log:

Initial value of the log posterior (or likelihood): -6972520.5243

Gradient norm 17418.6617

Minimum Hessian eigenvalue 7568286935.463

Maximum Hessian eigenvalue 7568286935.463

Iteration 1

Predicted improvement: 0.020044812

lambda = 1; f = 6972520.4849095

lambda = 1.9332; f = 6972520.4481676

lambda = 3.7372; f = 6972520.3771577

lambda = 7.2247; f = 6972520.2399525

```
Norm of First-order Trust-region
```

Iteration Func-count f(x) step optimality radius

0 1 9.31346e-11 9.28e-06 1

1 2 1.31201e-21 0.000275185 3.63e-11 1

fsolve completed because the vector of function values is near zero

as measured by the selected value of the function tolerance, and

the problem appears regular as measured by the gradient.