AIC.RegressionByComposition: Compute Akaike Information Criterion from a regression by...
In rbc: Regression by Composition
AIC.RegressionByComposition R Documentation
Compute Akaike Information Criterion from a regression by composition
Description
Compute Akaike Information Criterion from a regression by composition
Usage
## S3 method for class 'RegressionByComposition'
AIC(object, ..., k = 2)
Arguments
object
a RegressionByComposition object;
usually the result of a call to rbc()
...
ignored
k
numeric, the penalty per parameter to be used; ‘k = 2’ is the classical AIC.
rbc documentation built on April 3, 2025, 10:20 p.m.
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| AIC.RegressionByComposition | R Documentation |
Compute Akaike Information Criterion from a regression by composition
Description
Compute Akaike Information Criterion from a regression by composition
Usage
## S3 method for class 'RegressionByComposition'
AIC(object, ..., k = 2)
Arguments
object |
a RegressionByComposition object; usually the result of a call to rbc() |
... |
ignored |
k |
numeric, the penalty per parameter to be used; ‘k = 2’ is the classical AIC. |
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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