AIC.ddf: Akaike's An Information Criterion for detection functions
In DistanceDevelopment/mrds: Mark-Recapture Distance Sampling
AIC.ddf R Documentation
Akaike's An Information Criterion for detection functions
Description
Extract the AIC from a fitted detection function.
Usage
## S3 method for class 'ddf'
AIC(object, ..., k = 2)
Arguments
object
a fitted detection function object
...
optionally more fitted model objects.
k
penalty per parameter to be used; the default k = 2 is the
"classical" AIC
Author(s)
David L Miller
DistanceDevelopment/mrds documentation built on Feb. 15, 2024, 9:25 a.m.
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| AIC.ddf | R Documentation |
Akaike's An Information Criterion for detection functions
Description
Extract the AIC from a fitted detection function.
Usage
## S3 method for class 'ddf'
AIC(object, ..., k = 2)
Arguments
object |
a fitted detection function object |
... |
optionally more fitted model objects. |
k |
penalty per parameter to be used; the default |
Author(s)
David L Miller
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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