MLE: Numerical Maximum Likelihood Estimator
In OBRE: Optimal B-Robust Estimator Tools
MLE R Documentation
Numerical Maximum Likelihood Estimator
Description
The parameters Maximum Likelihood Estimation is obtained by numerical optimization.
Usage
MLE(nvData, strDistribution, lDensityExpr)
Arguments
nvData
The vector of the data.
strDistribution
The distribution name.
lDensityExpr
The distribution expression,
Value
A list with distribution name, distribution parameters, value of the objective function
corresponding to the parameters, additional information returned by the optimizer, convergence of
the algorithm.
OBRE documentation built on July 9, 2023, 5:53 p.m.
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| MLE | R Documentation |
Numerical Maximum Likelihood Estimator
Description
The parameters Maximum Likelihood Estimation is obtained by numerical optimization.
Usage
MLE(nvData, strDistribution, lDensityExpr)
Arguments
nvData |
The vector of the data. |
strDistribution |
The distribution name. |
lDensityExpr |
The distribution expression, |
Value
A list with distribution name, distribution parameters, value of the objective function corresponding to the parameters, additional information returned by the optimizer, convergence of the algorithm.
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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