Description Usage Arguments Value Caution References See Also Examples
Optimization methods (or algorithms) for the mle
method.
1 2 | optimMethods(optimMethod = NULL,
optimFun = c("both", "nloptr::nloptr", "stats::optim"))
|
optimMethod |
A character string used to find a method in a possible approximated fashion, see Examples. |
optimFun |
Value of the corresponding formal argument of the |
A data frame with four character columns: optimFun
,
optimMethod
, globLoc
and derNo
. The column
globLoc
indicate whether the method is global ("G"
) or
local ("L"
). The column derNo
indicates whether the
method uses derivatives (D
) or not ("N"
) or
possibly uses it ("P"
). Only methods corresponding the
optimFun = "stats::optim"
can have the value "P"
for
derNo
. The data frame can be zero-row if optimMethod
is
given and no method match.
The optimization method given in the argument
optimMethod
of the mle
method should be compliant
with the compGrad
argument. Only a small number of
possibilities have been tested, including the default values.
See The NLopt website.
1 2 3 4 5 | optimMethods()
optimMethods(optimMethod = "cobyla")
optimMethods(optimMethod = "nelder")
optimMethods(optimMethod = "BFGS")
optimMethods("CMAES")
|
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