[ADMB Users] Integrating R and ADMB to generalize TPL files

[dave fournier]

I thought it might be interesting to model the increase in variability by
using a different overdispersion parameter for each period. The results are.


# Number of parameters = 8  Objective function value = 254.325 Maximum 
gradient component = 8.59709e-05
# pz:
0.000100000000000
# beta:
  -10.8175827094 -2.23582249148 -3.42881880705 8.42578854173
# tmpL:
  0.436593520224
# tmpL1:
  0.000100000000000
# log_alpha:
  0.826338727816 0.0677913813376 0.657156858701

So this improves the fit better than using the extra parameters
for the variances of the RE's. I'm not sure what is means though.