logLik.SemiParBIV: Extract the log likelihood for a fitted copula model
In GJRM: Generalised Joint Regression Modelling
logLik.SemiParBIV R Documentation
Extract the log likelihood for a fitted copula model
Description
It extracts the log-likelihood for a fitted gjrm model.
Usage
## S3 method for class 'SemiParBIV'
logLik(object, ...)
Arguments
object
A fitted gjrm object.
...
Un-used for this function.
Details
Modification of the classic logLik which accounts for the estimated degrees of freedom used in gjrm.
This function is provided so that information criteria work correctly by using the correct number of degrees
of freedom.
Value
Standard logLik object.
Author(s)
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
See Also
AIC, BIC
GJRM documentation built on Oct. 25, 2024, 5:07 p.m.
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| logLik.SemiParBIV | R Documentation |
Extract the log likelihood for a fitted copula model
Description
It extracts the log-likelihood for a fitted gjrm model.
Usage
## S3 method for class 'SemiParBIV'
logLik(object, ...)
Arguments
object |
A fitted |
... |
Un-used for this function. |
Details
Modification of the classic logLik which accounts for the estimated degrees of freedom used in gjrm.
This function is provided so that information criteria work correctly by using the correct number of degrees
of freedom.
Value
Standard logLik object.
Author(s)
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
See Also
AIC, BIC
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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