BIC.gamBiCop-methods: Schwarz's Bayesian Information Criterion for a gamBiCop...
In gamCopula: Generalized Additive Models for Bivariate Conditional Dependence Structures and Vine Copulas
Description
Usage
Arguments
Value
See Also
Description
Function calculating the Schwarz's Bayesian Information Criterion (BIC)
for an object of the class
gamBiCop (note that the models are
usually fitted by penalized likelihood maximization).
Usage
1
2
Arguments
object
An object of the class
gamBiCop.
...
un-used in this class
Value
A numeric value with the corresponding BIC.
See Also
gamCopula documentation built on Aug. 18, 2017, 1:01 a.m.
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Description Usage Arguments Value See Also
Description
Function calculating the Schwarz's Bayesian Information Criterion (BIC)
for an object of the class
gamBiCop (note that the models are
usually fitted by penalized likelihood maximization).
Usage
1 2 |
Arguments
object |
An object of the class
|
... |
un-used in this class |
Value
A numeric value with the corresponding BIC.
See Also
gamCopula documentation built on Aug. 18, 2017, 1:01 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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