Optimizer: A subclass of Calibrator that uses an optimizer and an...
In junlingm/REpiSim: Mathematical Epidemiological Model Simulations in R
Optimizer R Documentation
A subclass of Calibrator that uses an optimizer and an initial guess.
Calibrate the model to data
Description
A subclass of Calibrator that uses an optimizer and an initial guess.
Calibrate the model to data
A subclass of Calibrator that uses an optimizer and an initial guess.
Calibrate the model to data
Super class
REpiSim::Calibrator -> Optimizer
Methods
Public methods
Inherited methods
Method calibrate()
Usage
Optimizer$calibrate(initial.values, parms, guess, ...)
Arguments
initial.valuesthe initial values for the model. The parameters
that need to be estimate should be NA, those that do not need to be
estimated must contain a finite value.
parmsthe parameter values of the model. The parameters
that need to be estimate should be NA, those that do not need to be
estimated must contain a finite value.
guessthe initial guess of the parameters to be fitted
...extra arguments to be passed to calibrators
Method clone()
The objects of this class are cloneable with this method.
Usage
Optimizer$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
junlingm/REpiSim documentation built on June 15, 2025, 7:36 a.m.
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| Optimizer | R Documentation |
A subclass of Calibrator that uses an optimizer and an initial guess. Calibrate the model to data
Description
A subclass of Calibrator that uses an optimizer and an initial guess. Calibrate the model to data
A subclass of Calibrator that uses an optimizer and an initial guess. Calibrate the model to data
Super class
REpiSim::Calibrator -> Optimizer
Methods
Public methods
Inherited methods
Method calibrate()
Usage
Optimizer$calibrate(initial.values, parms, guess, ...)
Arguments
initial.valuesthe initial values for the model. The parameters that need to be estimate should be NA, those that do not need to be estimated must contain a finite value.
parmsthe parameter values of the model. The parameters that need to be estimate should be NA, those that do not need to be estimated must contain a finite value.
guessthe initial guess of the parameters to be fitted
...extra arguments to be passed to calibrators
Method clone()
The objects of this class are cloneable with this method.
Usage
Optimizer$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
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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