Baysian: A subclass of Calibrator that uses a Baysian method....
In junlingm/REpiSim: Mathematical Epidemiological Model Simulations in R
Baysian R Documentation
A subclass of Calibrator that uses a Baysian method.
Calibrate the model to data
Description
A subclass of Calibrator that uses a Baysian method.
Calibrate the model to data
A subclass of Calibrator that uses a Baysian method.
Calibrate the model to data
Super class
REpiSim::Calibrator -> Baysian
Methods
Public methods
Inherited methods
Method calibrate()
Usage
Baysian$calibrate(initial.values, parms, priors, guess, ...)
Arguments
initial.valuesthe initial values for the model. The parameters
that need to be estimate should be NA, those that do not need to be
estimated must contain a finite value.
parmsthe parameter values of the model. The parameters
that need to be estimate should be NA, those that do not need to be
estimated must contain a finite value.
priorsa named list of Distribution objects specifying the priors.
Each name is a parameter.
guessthe initial guess of the parameters to be fitted
...extra arguments to be passed to calibrators
Method samples()
Usage
Baysian$samples()
Method clone()
The objects of this class are cloneable with this method.
Usage
Baysian$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
junlingm/REpiSim documentation built on Nov. 28, 2023, 2:35 a.m.
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| Baysian | R Documentation |
A subclass of Calibrator that uses a Baysian method. Calibrate the model to data
Description
A subclass of Calibrator that uses a Baysian method. Calibrate the model to data
A subclass of Calibrator that uses a Baysian method. Calibrate the model to data
Super class
REpiSim::Calibrator -> Baysian
Methods
Public methods
Inherited methods
Method calibrate()
Usage
Baysian$calibrate(initial.values, parms, priors, 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.
priorsa named list of Distribution objects specifying the priors. Each name is a parameter.
guessthe initial guess of the parameters to be fitted
...extra arguments to be passed to calibrators
Method samples()
Usage
Baysian$samples()
Method clone()
The objects of this class are cloneable with this method.
Usage
Baysian$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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