get_control: Format the optimization method controls
In julienneves/mmc: Maximized Monte Carlo
get_control R Documentation
Format the optimization method controls
Description
This function provides a way to merge the user specified controls for the
optimization methods with their respective default controls.
Usage
get_control(method, control = list())
Arguments
method
A character string. Type of algorithm to be
used for global optimization. The four available methods
are simulated annealing (GenSA), particle swarm (psoptim),
genetic algorithm (GA), and grid search (gridSearch)
Default is GenSA,
control
A list. Arguments to be used to control the
behavior of the algorithm chosen in method. See controls section for more details.
Value
A list. Arguments to be used to control the behavior
of the algorithm chosen in method.
julienneves/mmc documentation built on Oct. 11, 2024, 1:06 p.m.
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| get_control | R Documentation |
Format the optimization method controls
Description
This function provides a way to merge the user specified controls for the optimization methods with their respective default controls.
Usage
get_control(method, control = list())
Arguments
method |
A character string. Type of algorithm to be
used for global optimization. The four available methods
are simulated annealing ( |
control |
A list. Arguments to be used to control the
behavior of the algorithm chosen in |
Value
A list. Arguments to be used to control the behavior
of the algorithm chosen in method.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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