AICc: Compute Akaike Information Criterion for small samples (AICc)...
In adegenet: Exploratory Analysis of Genetic and Genomic Data
View source: R/AICc.snapclust.R
AICc R Documentation
Compute Akaike Information Criterion for small samples (AICc) for snapclust
Description
Do not use. We work on that stuff. Contact us if interested.
Usage
AICc(object, ...)
## S3 method for class 'snapclust'
AICc(object, ...)
Arguments
object
An object returned by the function snapclust.
...
Further arguments for compatibility with the AIC generic
(currently not used).
Author(s)
Thibaut Jombart thibautjombart@gmail.com
See Also
snapclust to generate clustering solutions.
adegenet documentation built on Feb. 16, 2023, 6 p.m.
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View source: R/AICc.snapclust.R
| AICc | R Documentation |
Compute Akaike Information Criterion for small samples (AICc) for snapclust
Description
Do not use. We work on that stuff. Contact us if interested.
Usage
AICc(object, ...) ## S3 method for class 'snapclust' AICc(object, ...)
Arguments
object |
An object returned by the function |
... |
Further arguments for compatibility with the |
Author(s)
Thibaut Jombart thibautjombart@gmail.com
See Also
snapclust to generate clustering solutions.
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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