SemiParBIVProbit (version 3.2-7)

logLik.SemiParBIVProbit: Extract the log likelihood for a fitted SemiParBIVProbit

Description

It extracts the log-likelihood for a fitted SemiParBIVProbit model.

Usage

## S3 method for class 'SemiParBIVProbit':
logLik(object, ...)

Arguments

object

A fitted SemiParBIVProbit object as produced by SemiParBIVProbit().

...

Un-used for this function.

Value

• Standard logLik object.

Details

Modification of the classic logLik which accounts for the estimated degrees of freedom used in SemiParBIVProbit objects. This function is provided so that information criteria work correctly with SemiParBIVProbit objects by using the correct degrees of freedom.

References

Radice R., Marra G. and M. Wojtys (submitted), Copula Regression Spline Models for Binary Outcomes with Application in Health Care Utilization.

See Also

AIC, BIC

Examples

## see examples for SemiParBIVProbit