AIC: Akaike's An Information Criterion
In tsmodels/tsissm: Linear Innovations State Space Unobserved Components Model
AIC.tsissm.estimate R Documentation
Akaike's An Information Criterion
Description
Extract the AIC from an estimated model.
Usage
## S3 method for class 'tsissm.estimate'
AIC(object, ..., k = 2)
Arguments
object
an object of class “tsissm.estimate”.
...
not currently used.
k
the penalty per parameter to be used; the default k = 2 is the
classical AIC.
Value
a numeric value.
tsmodels/tsissm documentation built on Oct. 15, 2022, 6:44 a.m.
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| AIC.tsissm.estimate | R Documentation |
Akaike's An Information Criterion
Description
Extract the AIC from an estimated model.
Usage
## S3 method for class 'tsissm.estimate' AIC(object, ..., k = 2)
Arguments
object |
an object of class “tsissm.estimate”. |
... |
not currently used. |
k |
the penalty per parameter to be used; the default k = 2 is the classical AIC. |
Value
a numeric value.
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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