summary.ll.order: Summarize nonparametric cross-validation for time-series...
In nlts: Nonlinear Time Series Analysis
Description
Usage
Arguments
Details
Value
See Also
Description
‘summary’ method for class "ll.order".
Usage
1
2
Arguments
object
an object of class "ll.order", usually, as a result of a call
to ll.order.
GCV
if TRUE (or if cross-validation was not done), uses GCV values.
...
no other arguments currently allowed
Details
See ll.order for details.
Value
A matrix summarizing the minimum cross-validation error (cv.min) and
the associated Gaussian-kernel bandwidth (bandwidth.opt) and model
degrees-of-freedom for each order considered.
See Also
nlts documentation built on May 1, 2019, 8:44 p.m.
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Description Usage Arguments Details Value See Also
Description
‘summary’ method for class "ll.order".
Usage
1 2 |
Arguments
object |
an object of class "ll.order", usually, as a result of a call
to |
GCV |
if TRUE (or if cross-validation was not done), uses GCV values. |
... |
no other arguments currently allowed |
Details
See ll.order for details.
Value
A matrix summarizing the minimum cross-validation error (cv.min) and the associated Gaussian-kernel bandwidth (bandwidth.opt) and model degrees-of-freedom for each order considered.
See Also
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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