Description Usage Arguments Value Author(s) Examples
Returns a list of optimization controls used in
Rdistance
and provides a way to change them if needed.
1 2 3  RdistanceControls(optimizer = "nlminb", evalMax = 2000,
maxIters = 1000, likeTol = 1e08, coefTol = 1.5e08,
hessEps = 1e08)

optimizer 
A string specifying the optimizer
to use. Results
vary between optimizers, so switching algorithms sometimes
makes a poorly behaved distance function converge. The valid
values are "optim" which uses 
evalMax 
The maximum number of objective function evaluations allowed. 
maxIters 
The maximum number of optimization iterations allowed. 
likeTol 
The maximum change in the likelihood (the objective) between iterations that is tolerated during optimization. If the likelihood changes by less than this amount, optimization stops and a solution is declared. 
coefTol 
The maximum change in the model coefficients between iterations that is tolerated during optimization. If the sum of squared coefficient differences changes by less than this amount between iterations, optimization stops and a solution is declared. 
hessEps 
A vector of parameter distances used during
computation of numeric second derivatives. Should have length
1 or the number of parameters in the model. See function

A list containing named components for each of the controls. This list has the same components as this function has input parameters.
Trent McDonald tmcdonald@westinc.com
1 2 3 4 5  # increase number of iterations
RdistanceControls(maxIters=2000)
# change optimizer and decrease tolerance
RdistanceControls(optimizer="optim", likeTol=1e6)

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