[R] Maximum likelihood with analytical Hessian and

[Xavier Robin]

Dear list,

I have an optimization problem that I would like to solve by Maximum
Likelihood.
I have analytical functions for the first and second derivatives of my
parameters.
In addition, some parameters are constrained between 0 and 1, while some
others can vary freely between -Inf and +Inf.

I am looking for an optimization function to solve this problem.

I understand that the base optim function doesn't take a Hessian
function, it only computes it numerically.
I found the maxLik package that takes the function as a "hess" parameter
but the maxNR method (the only one that uses the Hessian function) can't
be bounded.
Surprisingly I couldn't find a function doing both.

Any suggestions for a function doing bounded optimization with an
analytical Hessian function?

Thanks,
Xavier