glm_model_select: Model selection for bg_GLM objects
| GLM model selection | R Documentation |
Model selection for bg_GLM objects
Description
These functions compute the log-likelihood and Akaike's An Information
Criterion (AIC) of a bg_GLM object. See
logLik.lm and extractAIC for
details.
Usage
## S3 method for class 'bg_GLM'
logLik(object, REML = FALSE, ...)
## S3 method for class 'bg_GLM'
extractAIC(fit, scale = 0, k = 2, ...)
Arguments
object, fit |
A |
REML |
Logical indicating whether to return the restricted
log-likelihood. Default: |
... |
Unused |
scale |
Should be left at its default |
k |
Numeric; the weight of the equivalent degrees of freedom |
Details
The functions AIC and BIC will also
work for bg_GLM objects because they each call logLik.
Value
logLik returns an object of class logLik with several
attributes. extractAIC returns a numeric vector in which the first
element is the equivalent degrees of freedom and the remaining are
the AIC's for each region
