AICc: Corrected Akaike information criterion and number of...
In gllvm: Generalized Linear Latent Variable Models
AICc R Documentation
Corrected Akaike information criterion and number of observations
Description
Calculates corrected Akaike information criterion for small sample sizes, and extracts number of observations.
Usage
## S3 method for class 'gllvm'
AICc(object, ...)
## S3 method for class 'gllvm'
nobs(object, ...)
Arguments
object
an object of class 'gllvm'.
...
Not used.
Author(s)
Jenni Niku, Bert van der Veen
gllvm documentation built on April 11, 2025, 6:12 p.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.
| AICc | R Documentation |
Corrected Akaike information criterion and number of observations
Description
Calculates corrected Akaike information criterion for small sample sizes, and extracts number of observations.
Usage
## S3 method for class 'gllvm'
AICc(object, ...)
## S3 method for class 'gllvm'
nobs(object, ...)
Arguments
object |
an object of class 'gllvm'. |
... |
Not used. |
Author(s)
Jenni Niku, Bert van der Veen
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.