Description Usage Arguments Details Value See Also Examples
An R implementation of a variable metric method for minimization of unconstrained nonlinear functions.
See the manual Rvmmin.Rd for details.
1 
par 
A numeric vector of starting estimates. 
fn 
A function that returns the value of the objective at the
supplied set of parameters 
gr 
A function that returns the gradient of the objective at the
supplied set of parameters Note that a gradient function MUST be provided. See the manual for

control 
An optional list of control settings. See the manual Rvmmin.Rd for details. Some control elements apply only when parameters are bounds constrained and are not used in this function. 
... 
Further arguments to be passed to 
This routine is intended to be called from Rvmmin
, which will, if
necessary, supply a gradient approximation. However, some users will want
to avoid the extra overhead, in which case it is important to provide an
appropriate and highaccuracy gradient routine.
Functions fn
must return a numeric value.
A list with components:
par 
The best set of parameters found. 
value 
The value of the objective at the best set of parameters found. 
counts 
A vector of two integers giving the number of function and gradient evaluations. 
convergence 
An integer indicating the situation on termination of the function.

message 
A description of the situation on termination of the function. 
1  ####in Rvmmin.Rd ####

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