AIC.fcrr: Akaike's An Information Criterion
In fastcmprsk: Fine-Gray Regression via Forward-Backward Scan
AIC.fcrr R Documentation
Akaike's An Information Criterion
Description
Similar functional utility to coef methods.
Usage
## S3 method for class 'fcrr'
AIC(object, ..., k = 2)
Arguments
object
fcrr object
...
Additional arguments. Not implemented.
k
Numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC.
Value
A numeric value with the corresponding AIC (or BIC, or ..., depending on k).
fastcmprsk documentation built on Oct. 30, 2024, 5:08 p.m.
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| AIC.fcrr | R Documentation |
Akaike's An Information Criterion
Description
Similar functional utility to coef methods.
Usage
## S3 method for class 'fcrr'
AIC(object, ..., k = 2)
Arguments
object |
|
... |
Additional arguments. Not implemented. |
k |
Numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC. |
Value
A numeric value with the corresponding AIC (or BIC, or ..., depending on k).
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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