AIC.dsmodel: Akaike's An Information Criterion for detection functions
In Distance: Distance Sampling Detection Function and Abundance Estimation
Description
Usage
Arguments
Author(s)
Description
Extract the AIC from a fitted detection function.
Usage
1
2
Arguments
object
a fitted detection function object
...
required for S3 but ignored
k
penalty per parameter to be used; the default k = 2 is the "classical" AIC
Author(s)
David L Miller
Distance documentation built on July 4, 2017, 9:29 a.m.
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Description Usage Arguments Author(s)
Description
Extract the AIC from a fitted detection function.
Usage
1 2 |
Arguments
object |
a fitted detection function object |
... |
required for S3 but ignored |
k |
penalty per parameter to be used; the default |
Author(s)
David L Miller
Distance documentation built on July 4, 2017, 9:29 a.m.
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.
As an Amazon Associate I earn from qualifying purchases.
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