MLE: Generic Function: Maximum Likelihood Estimation of a Gaussian...
In kergp: Gaussian Process Laboratory
mle R Documentation
Generic Function: Maximum Likelihood Estimation of a Gaussian Process
Model
Description
Generic function for the Maximum Likelihood estimation of a Gaussian Process
model.
Usage
mle(object, ...)
Arguments
object
An object representing a covariance kernel.
...
Other arguments for methods, typically including a response, a
design, ...
Value
An estimated model, typically a list.
See Also
mle-methods for examples.
kergp documentation built on April 4, 2025, 2:29 a.m.
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| mle | R Documentation |
Generic Function: Maximum Likelihood Estimation of a Gaussian Process Model
Description
Generic function for the Maximum Likelihood estimation of a Gaussian Process model.
Usage
mle(object, ...)
Arguments
object |
An object representing a covariance kernel. |
... |
Other arguments for methods, typically including a response, a design, ... |
Value
An estimated model, typically a list.
See Also
mle-methods for examples.
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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