R help - Jul 2004 - Running the optimization on the subset of parameters

Dear all,
I'd like to find a minimum of (-loglik) function which is a function of k
parameters. I'd like to run the minimization algorithm for the different
subsets of the parameters and assign the fixed values to the complementary
subset. How should I define my (-loglik) function such that it can be passed to
the optim or other optimization function?
 
Much thanks for any suggestions. 
Vicky Landsman. 
	[[alternative HTML version deleted]]

If you use the mle() function in the `stats4' package, you don't
have to do anything special.  For example,

 > negloglik <- function(a, b) { a^2 + b^2 }
 > mle(negloglik, start = list(a = 2), fixed = list(b = 4))

Call:
mle(minuslogl = negloglik, start = list(a = 2), fixed = list(b = 4))

Coefficients:
            a            b
2.202682e-13 4.000000e+00
 > mle(negloglik, start = list(b = 2), fixed = list(a = 4))

Call:
mle(minuslogl = negloglik, start = list(b = 2), fixed = list(a = 4))

Coefficients:
            a            b
4.000000e+00 2.202682e-13
 >

-roger

Victoria Landsman wrote:
> Dear all, I'd like to find a minimum of (-loglik) function
> which is a function of k parameters. I'd like to run the
> minimization algorithm for the different subsets of the
> parameters and assign the fixed values to the complementary
> subset. How should I define my (-loglik) function such that it
> can be passed to the optim or other optimization function?
> 
> Much thanks for any suggestions. Vicky Landsman. [[alternative
> HTML version deleted]]
> 
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