mle: Maximum Likelihood Estimation (MLE) Object
In wudongjie/fmmr6: The R Implementation of Finite Mixture Modellings on the R6 Class System
mle R Documentation
Maximum Likelihood Estimation (MLE) Object
Description
A concrete R6 object for Maximum Likelihood Estimation.
Value
Returns R6 object of class mle.
Super classes
fmmr6::AbstractMethod -> fmmr6::EstimMethod -> mle
Methods
Public methods
Inherited methods
Method fit()
Fit the MLE.
Usage
mle$fit(algo = "mle", ...)
Arguments
algo(character(1))
The algorithm used. The default is mle.
...(list())
Other related parameters.
Method clone()
The objects of this class are cloneable with this method.
Usage
mle$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Author(s)
Dongjie Wu
wudongjie/fmmr6 documentation built on June 24, 2022, 2:48 p.m.
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| mle | R Documentation |
Maximum Likelihood Estimation (MLE) Object
Description
A concrete R6 object for Maximum Likelihood Estimation.
Value
Returns R6 object of class mle.
Super classes
fmmr6::AbstractMethod -> fmmr6::EstimMethod -> mle
Methods
Public methods
Inherited methods
Method fit()
Fit the MLE.
Usage
mle$fit(algo = "mle", ...)
Arguments
algo(
character(1))
The algorithm used. The default ismle....(
list())
Other related parameters.
Method clone()
The objects of this class are cloneable with this method.
Usage
mle$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Author(s)
Dongjie Wu
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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