How to implement the Log Gaussian Cox Process in TMB

[houessou madjid]

Hi all,  
I am trying to implement the LGCP in TMB in which i approximate the gaussian random field by a linear combinaison of basis function and random coefficient.  The model then became a  GLMM. 

But I am getting an error while optimizing the objective function. 

In attach the code i am running and below the error i got

Error in nlminb(POobj_CMP$par, POobj_CMP$fn, POobj_CMP$gr, control = list(rel.tol = 1e-08)) : 

  NA/NaN gradient evaluation

In addition: Warning messages:

1: In nlminb(POobj_CMP$par, POobj_CMP$fn, POobj_CMP$gr, control = list(rel.tol = 1e-08)) :

  NA/NaN function evaluation

2: In nlminb(POobj_CMP$par, POobj_CMP$fn, POobj_CMP$gr, control = list(rel.tol = 1e-08)) :

  NA/NaN function evaluation

3: In nlminb(POobj_CMP$par, POobj_CMP$fn, POobj_CMP$gr, control = list(rel.tol = 1e-08)) :

  NA/NaN function evaluation

4: In nlminb(POobj_CMP$par, POobj_CMP$fn, POobj_CMP$gr, control = list(rel.tol = 1e-08)) :

  NA/NaN function evaluation

5: In nlminb(POobj_CMP$par, POobj_CMP$fn, POobj_CMP$gr, control = list(rel.tol = 1e-08)) :

  NA/NaN function evaluation

I replaced the weight of points process by 1e-10 but it still did compile.

Any help will be very appreciate.

Cheers,