getting AIC/likelihood from model coefficients

[#1]

Maybe a bit off topic, but:

I'm getting a model from R GLMNet (a general regression elastic net package, because the customer won't upgrade from JMP 10) and I need to calculate the AIC.  This package doesn't seem to give me likelihood.  So ... is it possible to calculate the max likelihood from the coefficients? The model is made using the max likelihood so I'm hoping that there is some way to pull this information if I have the chosen model.  It probably isn't, but I'm grasping at straws right now.  

[#2]

Excuse me, do you have reference on "Deviance(null) - Deviance(fit) = 2(L(model)-L(null))"? 

With  2(L(model)-L(null) do you mean it's "2 log likelihood" or "2 log (L0/L1)"?  Shouldn't it be "-2 log likelihood", or the equation of Deviance(null) - Deviance(fit) ignore the negative (-) sign?

Sorry for the rapid question.