AIC.fmsm: Akaike's information criterion from a flexible parametric...
In flexsurv: Flexible Parametric Survival and Multi-State Models
AIC.fmsm R Documentation
Akaike's information criterion from a flexible parametric multistate model
Description
Defined as the sum of the AICs of the transition-specific models.
Usage
## S3 method for class 'fmsm'
AIC(object, ..., k = 2)
Arguments
object
Object returned by fmsm representing a multistate model.
...
Further arguments (currently unused).
k
Penalty applied to number of parameters (defaults to the standard 2).
Value
The sum of the AICs of the transition-specific models.
flexsurv documentation built on May 29, 2024, 3:08 a.m.
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| AIC.fmsm | R Documentation |
Akaike's information criterion from a flexible parametric multistate model
Description
Defined as the sum of the AICs of the transition-specific models.
Usage
## S3 method for class 'fmsm'
AIC(object, ..., k = 2)
Arguments
object |
Object returned by |
... |
Further arguments (currently unused). |
k |
Penalty applied to number of parameters (defaults to the standard 2). |
Value
The sum of the AICs of the transition-specific models.
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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