logLik.scam: Log likelihood for a fitted SCAM, for AIC

In scam: Shape Constrained Additive Models

Log likelihood for a fitted SCAM, for AIC

Description

Function to extract the log-likelihood for a fitted scam model (fitted by penalized likelihood maximization). Used by AIC.

The function is a clone of logLik.gam of the mgcv package.

The documentation below is similar to that of object logLik.gam.

Usage

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

Arguments

object	fitted model objects of class scam as produced by scam().
...	unused in this case

Details

see logLik.gam for details.

Value

Standard logLik object: see logLik.

References

Hastie and Tibshirani, 1990, Generalized Additive Models.

Wood, S.N. (2008) Fast stable direct fitting and smoothness selection for generalized additive models. J.R.Statist. Soc. B 70(3):495-518

See Also

AIC

scam documentation built on April 14, 2023, 5:12 p.m.